Udacity - Deep Learning Foundation Torrent Downloads

Udacity - Deep Learning Foundation v1.0.0

Part 03-Module 02-Lesson 03_Q&A with FloydHub Founders

01. Floyd QA-KUc59DPfBeo.mp4

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01. Floyd QA-KUc59DPfBeo.en-US.vtt

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01. Floyd QA-KUc59DPfBeo.pt-BR.vtt

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01. FloydHub QA.html

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index.html

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Course Downloaded from coursedrive.net.txt

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index.html

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Visit Coursedrive.net.url

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assets

css

bootstrap.min.css

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jquery.mCustomScrollbar.min.css

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styles.css

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udacimak.png

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js

bootstrap.min.js

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jquery-3.3.1.min.js

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jquery.mCustomScrollbar.concat.min.js

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katex.min.js

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Part 01-Module 01-Lesson 01_Welcome

01. Welcome to the Deep Learning Nanodegree Foundations.html

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01. Welcome-PdPdogFHnvE.en.vtt

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01. Welcome-PdPdogFHnvE.mp4

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01. Welcome-PdPdogFHnvE.pt-BR.vtt

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01. Welcome-PdPdogFHnvE.zh-CN.vtt

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02. Projects You Will Build .html

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02. Projects You Will Build-yDPuDuCMST8.en.vtt

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02. Projects You Will Build-yDPuDuCMST8.mp4

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03. Meet Your Instructors -EcP0U4720sA.en-US.vtt

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03. Meet Your Instructors -EcP0U4720sA.en.vtt

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03. Meet Your Instructors -EcP0U4720sA.mp4

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03. Meet Your Instructors -EcP0U4720sA.pt-BR.vtt

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03. Meet Your Instructors -EcP0U4720sA.zh-CN.vtt

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03. Meet Your Instructors.html

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04. The first week-krK-TcGoYUI.en-US.vtt

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04. The first week-krK-TcGoYUI.mp4

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04. The first week-krK-TcGoYUI.pt-BR.vtt

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04. The first week-krK-TcGoYUI.zh-CN.vtt

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04. The First Week.html

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05. Prerequisites.html

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06. Community Support.html

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07. Deadline Policy.html

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08. We Value Your Feedback-Dl23R0YCQ0U.en-US.vtt

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08. We Value Your Feedback-Dl23R0YCQ0U.mp4

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08. We Value Your Feedback-Dl23R0YCQ0U.pt-BR.vtt

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08. We Value Your Feedback-Dl23R0YCQ0U.zh-CN.vtt

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08. We Value Your Feedback.html

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09. Getting Set Up.html

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09. Getting-Setup-1SuxTnuQkeE.en.vtt

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09. Getting-Setup-1SuxTnuQkeE.mp4

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09. Getting-Setup-1SuxTnuQkeE.pt-BR.vtt

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09. Getting-Setup-1SuxTnuQkeE.zh-CN.vtt

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index.html

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img

review-example.png

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view.png

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Part 01-Module 01-Lesson 02_Anaconda

01. Instructor.html

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02. Introduction.html

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02. Why Anaconda-VXukXZv7SCQ.ar.vtt

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02. Why Anaconda-VXukXZv7SCQ.en.vtt

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02. Why Anaconda-VXukXZv7SCQ.mp4

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02. Why Anaconda-VXukXZv7SCQ.pt-BR.vtt

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02. Why Anaconda-VXukXZv7SCQ.zh-CN.vtt

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03. What is Anaconda.html

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04. Installing Anaconda.html

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05. Managing packages.html

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06. Managing environments.html

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07. More environment actions.html

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08. Best practices.html

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09. On Python versions at Udacity.html

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index.html

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img

conda-create-env.png

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conda-env-export.png

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conda-install.png

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conda-search.png

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screen-shot-2018-03-19-at-2.49.57-pm.png

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media

conda_default_install.mp4

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conda_enter.mp4

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conda_install.mp4

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Part 01-Module 01-Lesson 03_Jupyter Notebooks

01. Instructor.html

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02. Jupyter-qiYDWFLyXvg.ar.vtt

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02. Jupyter-qiYDWFLyXvg.en.vtt

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02. Jupyter-qiYDWFLyXvg.mp4

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02. Jupyter-qiYDWFLyXvg.pt-BR.vtt

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02. Jupyter-qiYDWFLyXvg.zh-CN.vtt

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02. What are Jupyter notebooks.html

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03. Installing Jupyter Notebook.html

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04. Launching the notebook server.html

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05. Notebook interface.html

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06. Code cells.html

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07. Markdown cells.html

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08. Keyboard shortcuts.html

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09. Magic keywords.html

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10. Converting notebooks.html

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11. Creating a slideshow.html

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12. Finishing up.html

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index.html

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img

conda-environments.png

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conda-tab.png

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magic-matplotlib.png

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magic-pdb.png

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magic-timeit.png

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magic-timeit2.png

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nbconvert-example.png

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new-notebook.png

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notebook-components.png

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notebook-download.png

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notebook-json.png

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notebook-shutdown.png

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server-shutdown.png

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slides-cell-toolbar-menu.png

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slides-choose-slide-type.png

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media

command+palette.mp4

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Markdown+cells.mp4

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notebook+interface.mp4

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Part 01-Module 01-Lesson 04_Applying Deep Learning

01. Introduction.html

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02. Style Transfer.html

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03. DeepTraffic.html

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.en-US.vtt

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.en.vtt

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.mp4

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.pt-BR.vtt

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.zh-CN.vtt

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04. Flappy Bird.html

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05. Books to Read.html

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index.html

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img

chi-waves.png

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flappy-bird.jpg

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grokking-deep-learning.jpg

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mat-headshot.png

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Part 01-Module 02-Lesson 01_Regression

01. Welcome to Week One-10M2DnJuziE.en-US.vtt

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01. Welcome to Week One-10M2DnJuziE.mp4

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01. Welcome to Week One-10M2DnJuziE.pt-BR.vtt

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01. Welcome to Week One-10M2DnJuziE.zh-CN.vtt

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01. Welcome to Week One.html

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02. Preparing for Siraj's video.html

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03. Siraj's Intro to Deep Learning - How to Make a Prediction-QN1ZwKszguE.en.vtt

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03. Siraj's Intro to Deep Learning - How to Make a Prediction-QN1ZwKszguE.mp4

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03. Siraj's Intro to Deep Learning - How to Make a Prediction-QN1ZwKszguE.pt.vtt

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03. Siraj's Intro to Deep Learning.html

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04. Linear Regression.html

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05. Linear Regression Warnings.html

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06. Multiple Linear Regression.html

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07. Siraj's Live Session.html

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index.html

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img

just-a-2d-reg.png

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just-a-simple-lin-reg.png

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lin-reg-no-outliers.png

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lin-reg-w-outliers.png

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quadraticlinearregression.png

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Part 01-Module 03-Lesson 01_Matrix Math and NumPy Refresher

01. Introduction.html

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02. Data Dimensions.html

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02. Data Has Dimensions-F4NSv776X0c.en.vtt

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02. Data Has Dimensions-F4NSv776X0c.mp4

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02. Data Has Dimensions-F4NSv776X0c.pt-BR.vtt

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02. Data Has Dimensions-F4NSv776X0c.zh-CN.vtt

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03. Data in NumPy.html

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04. Element-wise Matrix Operations-vjUykZyzko4.en.vtt

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04. Element-wise Matrix Operations-vjUykZyzko4.mp4

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04. Element-wise Matrix Operations-vjUykZyzko4.pt-BR.vtt

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04. Element-wise Matrix Operations-vjUykZyzko4.zh-CN.vtt

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04. Element-wise Matrix Operations.html

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05. Element-wise Operations in NumPy.html

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06. Matrix Multiplication Part 1-JRoCFQRP4B0.en.vtt

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06. Matrix Multiplication Part 1-JRoCFQRP4B0.mp4

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06. Matrix Multiplication Part 1-JRoCFQRP4B0.pt-BR.vtt

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06. Matrix Multiplication Part 1-JRoCFQRP4B0.zh-CN.vtt

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06. Matrix Multiplication Part 1.html

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07. Matrix Multiplication Part 2-8jtk8BzBdj8.en.vtt

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07. Matrix Multiplication Part 2-8jtk8BzBdj8.mp4

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07. Matrix Multiplication Part 2-8jtk8BzBdj8.zh-CN.vtt

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07. Matrix Multiplication Part 2.html

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08. NumPy Matrix Multiplication.html

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09. Matrix Transposes-NVK5xCY3CZE.en-US.vtt

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09. Matrix Transposes-NVK5xCY3CZE.mp4

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09. Matrix Transposes-NVK5xCY3CZE.pt-BR.vtt

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09. Matrix Transposes-NVK5xCY3CZE.zh-CN.vtt

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09. Matrix Transposes.html

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10. Transposes in NumPy.html

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11. NumPy Quiz.html

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index.html

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img

input-times-weights.png

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Part 01-Module 03-Lesson 02_Intro to Neural Networks

01. Introducing Luis-nto-stLuN6M.en-US.vtt

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01. Introducing Luis-nto-stLuN6M.mp4

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01. Introducing Luis-nto-stLuN6M.pt-BR.vtt

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01. Introducing Luis-nto-stLuN6M.zh-CN.vtt

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01. Introducing Luis.html

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02. Logistic Regression - Question-kSs6O3R7JUI.en-US.vtt

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02. Logistic Regression - Question-kSs6O3R7JUI.mp4

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02. Logistic Regression - Question-kSs6O3R7JUI.pt-BR.vtt

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02. Logistic Regression - Question-kSs6O3R7JUI.zh-CN.vtt

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02. Logistic Regression Quiz.html

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03. Logistic Regression - Solution-1iNylA3fJDs.en-US.vtt

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03. Logistic Regression - Solution-1iNylA3fJDs.mp4

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03. Logistic Regression - Solution-1iNylA3fJDs.pt-BR.vtt

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03. Logistic Regression - Solution-1iNylA3fJDs.zh-CN.vtt

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03. Logistic Regression Answer.html

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04. Neural Networks-Mqogpnp1lrU.en.vtt

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04. Neural Networks-Mqogpnp1lrU.mp4

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04. Neural Networks-Mqogpnp1lrU.pt-BR.vtt

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04. Neural Networks-Mqogpnp1lrU.zh-CN.vtt

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04. Neural Networks.html

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05. Perceptron.html

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06. AND Perceptron Quiz.html

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07. OR NOT Perceptron Quiz.html

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08. XOR Perceptron Quiz.html

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09. The Simplest Neural Network.html

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10. Gradient Descent-29PmNG7fuuM.en.vtt

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10. Gradient Descent-29PmNG7fuuM.mp4

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10. Gradient Descent-29PmNG7fuuM.pt-BR.vtt

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10. Gradient Descent-29PmNG7fuuM.zh-CN.vtt

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10. Gradient Descent.html

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11. Gradient Descent The Math.html

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11. Gradient Descent-Math-7sxA5Ap8AWM.en.vtt

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11. Gradient Descent-Math-7sxA5Ap8AWM.mp4

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11. Gradient Descent-Math-7sxA5Ap8AWM.zh-CN.vtt

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12. Gradient Descent The Code.html

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13. Implementing Gradient Descent.html

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14. Multilayer perceptrons-Rs9petvTBLk.en-US.vtt

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14. Multilayer perceptrons-Rs9petvTBLk.mp4

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14. Multilayer perceptrons-Rs9petvTBLk.pt-BR.vtt

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14. Multilayer perceptrons-Rs9petvTBLk.zh-CN.vtt

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14. Multilayer Perceptrons.html

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15. Backpropagation-MZL97-2joxQ.en-US.vtt

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15. Backpropagation-MZL97-2joxQ.mp4

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15. Backpropagation-MZL97-2joxQ.pt-BR.vtt

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15. Backpropagation-MZL97-2joxQ.zh-CN.vtt

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15. Backpropagation.html

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16. Implementing Backpropagation.html

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17. Further Reading.html

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index.html

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img

a-b-c-fill-nn.png

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admissions-data.png

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and-table.png

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backprop-error.gif

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backprop-general.gif

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backprop-network.png

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backprop-weight-update.gif

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codecogseqn-2.png

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derivative-example.png

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example-after-bias.png

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example-before-bias.png

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example-data.png

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gradient-descent.png

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heaviside-step-function-2.gif

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heaviside-step-graph-2.png

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hidden-errors.gif

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hidden-layer-weights.gif

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hq-new-and-or-percep-fixed.png

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hq-new-plot-perceptron-combine-v2.png

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hq-new-plot-perceptron-combine.png

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hq-new-xor-table.png

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hq-perceptron.png

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input-times-weights.png

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inputs-matrix.png

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legend.png

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local-minima.png

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logistic-regression-quiz.png

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mat-headshot.png

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matrix-mult-3.png

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mse.png

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multilayer-diagram-weights.png

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network-with-labeled-nodes.png

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network-with-labeled-weights.png

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perceptron-equation-2.gif

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perceptron-formula.gif

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perceptron-graphics.001.jpeg

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sigmoid.png

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simple-neuron.png

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weight-label-reference.gif

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Part 01-Module 03-Lesson 03_Your first neural network

01. Introduction to the Project-dOwEDeJp8yw.en.vtt

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01. Introduction to the Project-dOwEDeJp8yw.mp4

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01. Introduction to the Project-dOwEDeJp8yw.pt-BR.vtt

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01. Introduction to the Project-dOwEDeJp8yw.zh-CN.vtt

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01. Introduction to the Project.html

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index.html

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Project Description - Your first neural network.html

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Project Rubric - Your first neural network.html

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media

Screen+Shot+2017-01-27+at+11.38.54+AM.png

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Part 02-Module 01-Lesson 01_Model Evaluation and Validation

01. Introduction.html

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02. Testing-gmxGRJSKEb0.en-US.vtt

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02. Testing-gmxGRJSKEb0.mp4

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02. Testing-gmxGRJSKEb0.pt-BR.vtt

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02. Testing-gmxGRJSKEb0.zh-CN.vtt

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02. Testing.html

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03. Confusion Matrix-Question-9GLNjmMUB_4.en-US.vtt

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03. Confusion Matrix-Question-9GLNjmMUB_4.en.vtt

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03. Confusion Matrix-Question-9GLNjmMUB_4.mp4

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03. Confusion Matrix-Question-9GLNjmMUB_4.pt-BR.vtt

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03. Confusion Matrix-Question-9GLNjmMUB_4.zh-CN.vtt

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03. Confusion Matrix.html

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04. Accuracy Question-AmFoZTf-Hb0.en.vtt

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04. Accuracy Question-AmFoZTf-Hb0.mp4

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04. Accuracy.html

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05. Regression Metrics.html

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05. Regression-Metrics-906P4BPnl9A.en-US.vtt

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05. Regression-Metrics-906P4BPnl9A.mp4

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05. Regression-Metrics-906P4BPnl9A.pt-BR.vtt

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05. Regression-Metrics-906P4BPnl9A.zh-CN.vtt

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06. 04 L Types Of Errors-Twf1qnPZeSY.en-US.vtt

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06. 04 L Types Of Errors-Twf1qnPZeSY.mp4

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06. 04 L Types Of Errors-Twf1qnPZeSY.pt-BR.vtt

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06. 04 L Types Of Errors-Twf1qnPZeSY.zh-CN.vtt

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06. Types of Errors.html

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07. Model Complexity Graph-Question-YS5OQCA5cLY.en-US.vtt

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07. Model Complexity Graph-Question-YS5OQCA5cLY.mp4

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07. Model Complexity Graph-Question-YS5OQCA5cLY.pt-BR.vtt

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07. Model Complexity Graph-Question-YS5OQCA5cLY.zh-CN.vtt

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07. Model Complexity Graph.html

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07. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.en-US.vtt

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07. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.mp4

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07. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.pt-BR.vtt

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07. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.zh-CN.vtt

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08. K Fold Cross Validation-dRtgSJgSt_I.en-US.vtt

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08. K Fold Cross Validation-dRtgSJgSt_I.mp4

2.79 MB

08. K Fold Cross Validation-dRtgSJgSt_I.pt-BR.vtt

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08. K Fold Cross Validation-dRtgSJgSt_I.zh-CN.vtt

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08. K-Fold Cross Validation.html

5.39 KB

index.html

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img

accuracy.png

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complexity.png

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confusion.png

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Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask

01. Introducing Andrew Trask-U3PqQF-8qyI.en.vtt

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01. Introducing Andrew Trask-U3PqQF-8qyI.mp4

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01. Introducing Andrew Trask-U3PqQF-8qyI.pt-BR.vtt

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01. Introducing Andrew Trask-U3PqQF-8qyI.zh-CN.vtt

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01. Introducing Andrew Trask.html

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02. Andrew Trask - Intro-da1I0mea1jQ.en-US.vtt

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02. Andrew Trask - Intro-da1I0mea1jQ.mp4

23.76 MB

02. Andrew Trask - Intro-da1I0mea1jQ.pt-BR.vtt

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02. Andrew Trask - Intro-da1I0mea1jQ.zh-CN.vtt

4.94 KB

02. Meet Andrew.html

7.24 KB

03. Materials.html

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04. Framing the Problem-IsTOnkAKaJw.en.vtt

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04. Framing the Problem-IsTOnkAKaJw.mp4

17.65 MB

04. Framing the Problem-IsTOnkAKaJw.pt-BR.vtt

7.85 KB

04. Framing the Problem-IsTOnkAKaJw.zh-CN.vtt

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04. Framing the Problem.html

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05. Mini Project 1.html

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06. Mini Project 1 Solution-l4r5l0HvHRI.en.vtt

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06. Mini Project 1 Solution-l4r5l0HvHRI.mp4

24.79 MB

06. Mini Project 1 Solution-l4r5l0HvHRI.pt-BR.vtt

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06. Mini Project 1 Solution-l4r5l0HvHRI.zh-CN.vtt

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06. Mini Project 1 Solution.html

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07. Transforming Text into Numbers-7rHBU5cbePE.en.vtt

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07. Transforming Text into Numbers-7rHBU5cbePE.mp4

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07. Transforming Text into Numbers.html

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08. Mini Project 2.html

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09. Mini Project 2 Solution-45ihpPaeO8E.en.vtt

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09. Mini Project 2 Solution-45ihpPaeO8E.mp4

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09. Mini Project 2 Solution.html

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10. Building a Neural Network-aM2k7RTjjJI.en.vtt

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10. Building a Neural Network-aM2k7RTjjJI.mp4

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10. Building a Neural Network-aM2k7RTjjJI.pt-BR.vtt

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10. Building a Neural Network-aM2k7RTjjJI.zh-CN.vtt

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10. Building a Neural Network.html

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11. Mini Project 3.html

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12. Mini Project 3 Solution-imnxzCev4SI.en.vtt

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12. Mini Project 3 Solution-imnxzCev4SI.mp4

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12. Mini Project 3 Solution-imnxzCev4SI.pt-BR.vtt

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12. Mini Project 3 Solution.html

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13. Understanding Neural Noise-ubqhh4Iv7O4.en.vtt

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13. Understanding Neural Noise-ubqhh4Iv7O4.mp4

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13. Understanding Neural Noise-ubqhh4Iv7O4.pt-BR.vtt

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13. Understanding Neural Noise-ubqhh4Iv7O4.zh-CN.vtt

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13. Understanding Neural Noise.html

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14. Mini Project 4.html

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15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.en.vtt

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15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4

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15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.pt-BR.vtt

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15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.zh-CN.vtt

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15. Understanding Inefficiencies in our Network.html

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16. Mini Project 5.html

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17. Mini Project 5 Solution-Hv86B_jjWTI.en.vtt

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17. Mini Project 5 Solution-Hv86B_jjWTI.mp4

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17. Mini Project 5 Solution-Hv86B_jjWTI.pt-BR.vtt

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17. Mini Project 5 Solution-Hv86B_jjWTI.zh-CN.vtt

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17. Mini Project 5 Solution.html

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18. Further Noise Reduction-Kl3hWxizKVg.en.vtt

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18. Further Noise Reduction-Kl3hWxizKVg.mp4

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18. Further Noise Reduction-Kl3hWxizKVg.pt-BR.vtt

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18. Further Noise Reduction-Kl3hWxizKVg.zh-CN.vtt

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18. Further Noise Reduction.html

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19. Mini Project 6.html

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20. Mini Project 6 Solution-ji0famK7gOQ.en.vtt

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20. Mini Project 6 Solution-ji0famK7gOQ.mp4

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20. Mini Project 6 Solution-ji0famK7gOQ.pt-BR.vtt

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20. Mini Project 6 Solution-ji0famK7gOQ.zh-CN.vtt

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20. Mini Project 6 Solution.html

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21. Analysis What's Going on in the Weights-UHsT35pbpcE.en.vtt

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21. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4

33.67 MB

21. Analysis What's Going on in the Weights-UHsT35pbpcE.pt-BR.vtt

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21. Analysis What's Going on in the Weights-UHsT35pbpcE.zh-CN.vtt

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21. Analysis What's Going on in the Weights.html

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22. Andrew Trask - Outro-nIF0GLOQglQ.en-US.vtt

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22. Andrew Trask - Outro-nIF0GLOQglQ.mp4

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22. Andrew Trask - Outro-nIF0GLOQglQ.pt-BR.vtt

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22. Andrew Trask - Outro-nIF0GLOQglQ.zh-CN.vtt

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22. Conclusion.html

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index.html

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Part 02-Module 02-Lesson 02_Intro to TFLearn

01. Welcome to this lesson!.html

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02. ReLU and Softmax Activation Functions.html

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03. Categorical Cross-Entropy.html

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04. Sentiment Analysis with TFLearn.html

8.88 KB

04. TFLearn-YF7S6hi4bnc.en-US.vtt

7.93 KB

04. TFLearn-YF7S6hi4bnc.mp4

11.77 MB

04. TFLearn-YF7S6hi4bnc.zh-CN.vtt

7.24 KB

05. Sentiment Analysis Solution SC-s7FKYC5Zcm8.en.vtt

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05. Sentiment Analysis Solution SC-s7FKYC5Zcm8.mp4

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05. Sentiment Analysis Solution SC-s7FKYC5Zcm8.pt-BR.vtt

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05. Sentiment Analysis Solution SC-s7FKYC5Zcm8.zh-CN.vtt

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05. Sentiment Analysis Solution.html

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06. Handwritten Digit Recognition.html

9.34 KB

07. Handwritten Digit Recognition Solution.html

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index.html

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img

cezanne-c-600x600.jpg

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cross-entropy-diagram.png

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mat-headshot.png

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mnist-matrix.png

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relu.png

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Part 02-Module 02-Lesson 03_Preparing for Siraj's Lesson

01. Introduction.html

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02. Bag of Words.html

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03. Converting Documents to Vectors.html

7.98 KB

04. Word2vec.html

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05. RNNs and LSTMs.html

6.06 KB

index.html

3.78 KB

img

ascii-alphabet.png

16.80 KB

cat-vec.gif

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encoding.png

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mat-headshot.png

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Part 02-Module 03-Lesson 01_MiniFlow

01. Miniflow Introduction-Nqp_UifEwt0.en-US.vtt

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01. Miniflow Introduction-Nqp_UifEwt0.mp4

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01. Miniflow Introduction-Nqp_UifEwt0.pt-BR.vtt

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01. Miniflow Introduction-Nqp_UifEwt0.zh-CN.vtt

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01. Welcome to MiniFlow.html

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02. Graphs.html

10.11 KB

03. MiniFlow Architecture.html

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04. Forward Propagation.html

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05. Forward Propagation Solution.html

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06. Learning and Loss.html

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07. Linear Transform.html

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07. Pixels are Features!-qE5YYXtPq9U.en-US.vtt

0.07 KB

07. Pixels are Features!-qE5YYXtPq9U.mp4

1.06 MB

07. Pixels are Features!-qE5YYXtPq9U.pt-BR.vtt

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08. Sigmoid Function.html

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09. Cost.html

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10. Cost Solution.html

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11. Gradient Descent.html

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12. Backpropagation.html

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13. Stochastic Gradient Descent.html

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14. SGD Solution.html

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15. Outro.html

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index.html

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img

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media

input-to-output-2.mp4

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Part 02-Module 04-Lesson 01_Cloud Computing

01. Overview.html

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02. Create an AWS Account.html

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03. Get Access to GPU Instances.html

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04. Apply Credits.html

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05. Launch an Instance.html

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06. Login to the Instance.html

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07. More Resources.html

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index.html

3.92 KB

img

amazonwebservices-logo.svg.png

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aws-add-sec-group.png

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aws-create-account.png

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launch.png

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screen-shot-2017-11-26-at-9.38.24-am.png

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screen-shot-2018-01-08-at-5.38.03-am.png

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stop.png

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Part 02-Module 04-Lesson 02_Intro to TensorFlow

01. Intro to Vincent .html

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01. Intro to Vincent-0_M6a04ofz8.en.vtt

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01. Intro to Vincent-0_M6a04ofz8.mp4

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02. What is Deep Learning .html

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02. What Is Deep Learning-INt1nULYPak.en.vtt

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02. What Is Deep Learning-INt1nULYPak.mp4

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02. What Is Deep Learning-INt1nULYPak.pt-BR.vtt

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03. Solving Problems - Big and Small .html

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03. Solving Problems - Big And Small-WHcRQMGSbqg.en.vtt

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03. Solving Problems - Big And Small-WHcRQMGSbqg.mp4

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04. Let's Get Started .html

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05. Installing TensorFlow.html

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06. Hello, Tensor World!.html

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07. Transition to Classification.html

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08. Supervised Classification-XTGsutypAPE.en.vtt

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08. Supervised Classification-XTGsutypAPE.mp4

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08. Supervised Classification.html

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09. Training Your Logistic Classifier .html

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09. Training Your Logistic Classifier-WQsdr1EJgz8.mp4

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10. Quiz TensorFlow Linear Function.html

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11. ReLU and Softmax Activation Functions.html

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12. Quiz TensorFlow Softmax.html

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13. 13 L One Hot Encoding-phYsxqlilUk.en.vtt

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13. 13 L One Hot Encoding-phYsxqlilUk.mp4

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13. One-Hot Encoding.html

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14. Categorical Cross-Entropy.html

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15. Quiz TensorFlow Cross Entropy.html

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16. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.en-US.vtt

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16. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.mp4

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16. Minimizing Cross Entropy.html

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17. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.en-US.vtt

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17. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.mp4

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17. Practical Aspects of Learning.html

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18. Numerical Stability-_SbGcOS-jcQ.en-US.vtt

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18. Numerical Stability-_SbGcOS-jcQ.mp4

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18. Numerical Stability-_SbGcOS-jcQ.pt-BR.vtt

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18. Numerical Stability-_SbGcOS-jcQ.zh-CN.vtt

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18. Quiz Numerical Stability.html

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19. Normalized Inputs and Initial Weights .html

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19. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.en.vtt

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19. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.mp4

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19. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.zh-CN.vtt

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20. 21 L Measuring Performance-byP0DJImOSk.en-US.vtt

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20. 21 L Measuring Performance-byP0DJImOSk.mp4

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20. Measuring Performance .html

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21. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.en-US.vtt

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21. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.zh-CN.vtt

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21. Optimizing a Logistic Classifier.html

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22. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.en.vtt

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22. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.mp4

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22. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.pt-BR.vtt

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22. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.zh-CN.vtt

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22. Stochastic Gradient Descent.html

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23. 31 L Momentum And Learning Rate Decay-O3QYdmQjXds.en.vtt

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23. 31 L Momentum And Learning Rate Decay-O3QYdmQjXds.mp4

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23. Momentum and Learning Rate Decay.html

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24. 32 L Parameter Hyperspace!-5a3-iIhdguc.en.vtt

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24. 32 L Parameter Hyperspace!-5a3-iIhdguc.mp4

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24. 32 L Parameter Hyperspace!-5a3-iIhdguc.zh-CN.vtt

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24. Parameter Hyperspace .html

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25. Quiz Mini-batch.html

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26. Epochs.html

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27. Lab TensorFlow Neural Network.html

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index.html

5.83 KB

img

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cross-entropy-diagram.png

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download-repo.png

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linear-equation.gif

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media

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Part 02-Module 05-Lesson 01_Deep Neural Networks

01. Intro to Deep Neural Networks.html

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01. Mat HS-9P7UPWFu8w8.en-US.vtt

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01. Mat HS-9P7UPWFu8w8.mp4

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01. Mat HS-9P7UPWFu8w8.zh-CN.vtt

1.40 KB

02. Two-Layer Neural Network.html

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03. Quiz TensorFlow ReLUs.html

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04. Deep Neural Network in TensorFlow.html

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05. Training a Deep Learning Network-CsB7yUtMJyk.en.vtt

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05. Training a Deep Learning Network-CsB7yUtMJyk.mp4

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05. Training a Deep Learning Network-CsB7yUtMJyk.pt-BR.vtt

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05. Training a Deep Learning Network-CsB7yUtMJyk.zh-CN.vtt

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05. Training a Deep Learning Network.html

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06. Save and Restore TensorFlow Models.html

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07. Finetuning.html

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08. Regularization Intro-pECnr-5F3_Q.en-US.vtt

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08. Regularization Intro-pECnr-5F3_Q.en.vtt

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08. Regularization Intro-pECnr-5F3_Q.mp4

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08. Regularization Intro-pECnr-5F3_Q.zh-CN.vtt

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08. Regularization Intro.html

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09. Regularization-QcJBhbuCl5g.en.vtt

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09. Regularization-QcJBhbuCl5g.mp4

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09. Regularization-QcJBhbuCl5g.pt-BR.vtt

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09. Regularization-QcJBhbuCl5g.zh-CN.vtt

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09. Regularization.html

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10. Regularization Quiz.html

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10. Regularization-Quiz-E0eEW6V0_sA.en-US.vtt

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10. Regularization-Quiz-E0eEW6V0_sA.mp4

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10. Regularization-Quiz-E0eEW6V0_sA.pt-BR.vtt

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10. Regularization-Quiz-E0eEW6V0_sA.zh-CN.vtt

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11. Dropout RENDER-6DcImJS8uV8.en-US.vtt

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11. Dropout RENDER-6DcImJS8uV8.mp4

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11. Dropout RENDER-6DcImJS8uV8.pt-BR.vtt

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11. Dropout RENDER-6DcImJS8uV8.zh-CN.vtt

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11. Dropout.html

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12. Dropout Pt. 2-8nG8zzJMbZw.en-US.vtt

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12. Dropout Pt. 2-8nG8zzJMbZw.mp4

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12. Dropout Pt. 2-8nG8zzJMbZw.pt-BR.vtt

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12. Dropout Pt. 2-8nG8zzJMbZw.zh-CN.vtt

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12. Dropout Pt. 2.html

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13. Quiz TensorFlow Dropout.html

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index.html

4.48 KB

img

dropout-node.jpeg

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layers.png

286.10 KB

multi-layer.png

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regularization-quiz.png

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relu-network.png

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Part 02-Module 05-Lesson 02_Convolutional Networks

01. Intro to CNNs-B61jxZ4rkMs.en-US.vtt

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01. Intro to CNNs-B61jxZ4rkMs.en.vtt

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01. Intro to CNNs-B61jxZ4rkMs.ja-JP.vtt

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01. Intro to CNNs-B61jxZ4rkMs.mp4

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01. Intro to CNNs-B61jxZ4rkMs.pt-BR.vtt

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01. Intro to CNNs-B61jxZ4rkMs.zh-CN.vtt

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01. Intro To CNNs.html

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02. Color-Question-BdQccpMwk80.en.vtt

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02. Color-Question-BdQccpMwk80.mp4

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02. Color-Question-BdQccpMwk80.pt-BR.vtt

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02. Color-Question-BdQccpMwk80.zh-CN.vtt

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02. Color.html

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03. Statistical Invariance-0Hr5YwUUhr0.en.vtt

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03. Statistical Invariance-0Hr5YwUUhr0.mp4

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03. Statistical Invariance-0Hr5YwUUhr0.pt-BR.vtt

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03. Statistical Invariance-0Hr5YwUUhr0.zh-CN.vtt

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03. Statistical Invariance.html

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04. Convolutional Networks-ISHGyvsT0QY.en.vtt

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04. Convolutional Networks-ISHGyvsT0QY.mp4

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04. Convolutional Networks-ISHGyvsT0QY.pt-BR.vtt

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04. Convolutional Networks-ISHGyvsT0QY.zh-CN.vtt

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04. Convolutional Networks.html

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05. Intuition.html

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06. Filters.html

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07. Feature Map Sizes.html

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07. Feature-Map-Sizes-Question-lp1NrLZnCUM.en.vtt

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07. Feature-Map-Sizes-Question-lp1NrLZnCUM.mp4

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07. Feature-Map-Sizes-Question-lp1NrLZnCUM.pt-BR.vtt

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07. Feature-Map-Sizes-Question-lp1NrLZnCUM.zh-CN.vtt

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07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.en.vtt

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07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.mp4

1.15 MB

07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.pt-BR.vtt

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07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.zh-CN.vtt

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08. Convolutions Cont.-utOv-BKI_vo.en.vtt

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08. Convolutions Cont.-utOv-BKI_vo.mp4

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08. Convolutions Cont.-utOv-BKI_vo.pt-BR.vtt

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08. Convolutions Cont.-utOv-BKI_vo.zh-CN.vtt

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08. Convolutions continued.html

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09. Parameters.html

13.72 KB

10. Quiz Convolution Output Shape.html

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11. Solution Convolution Output Shape.html

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12. Quiz Number of Parameters.html

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13. Solution Number of Parameters.html

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14. Quiz Parameter Sharing.html

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15. Solution Parameter Sharing.html

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16. Visualizing CNNs.html

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17. TensorFlow Convolution Layer.html

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18. Explore the Design Space-FG7M9tWH2nQ.en.vtt

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18. Explore the Design Space-FG7M9tWH2nQ.mp4

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18. Explore the Design Space-FG7M9tWH2nQ.pt-BR.vtt

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18. Explore the Design Space-FG7M9tWH2nQ.zh-CN.vtt

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18. Explore The Design Space.html

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19. TensorFlow Max Pooling.html

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20. Quiz Pooling Intuition.html

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21. Solution Pooling Intuition.html

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22. Quiz Pooling Mechanics.html

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23. Solution Pooling Mechanics.html

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24. Quiz Pooling Practice.html

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25. Solution Pooling Practice.html

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26. Quiz Average Pooling.html

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27. Solution Average Pooling.html

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28. 1x1 Convolutions-Zmzgerm6SjA.en.vtt

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28. 1x1 Convolutions-Zmzgerm6SjA.mp4

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28. 1x1 Convolutions-Zmzgerm6SjA.zh-CN.vtt

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28. 1x1 Convolutions.html

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29. Inception Module-SlTm03bEOxA.en.vtt

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29. Inception Module-SlTm03bEOxA.mp4

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29. Inception Module-SlTm03bEOxA.pt-BR.vtt

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29. Inception Module-SlTm03bEOxA.zh-CN.vtt

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29. Inception Module.html

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30. Convolutional Network in TensorFlow.html

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31. TensorFlow Convolution Layer.html

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32. Solution TensorFlow Convolution Layer.html

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33. TensorFlow Pooling Layer.html

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34. Solution TensorFlow Pooling Layer.html

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35. CNNs - Additional Resources.html

8.88 KB

index.html

6.36 KB

img

arch.png

1.20 MB

convolution-schematic.gif

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convolutionalnetworksquiz.png

1.18 MB

diagonal-line-1.png

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diagonal-line-2.png

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dog-1210559-1280.jpg

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filter-depth.png

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grid-layer-1.png

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heirarchy-diagram.jpg

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layer-1-grid.png

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max-pooling.png

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maxpool.jpeg

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neilsen-pic.png

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retriever-patch-shifted.png

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retriever-patch.png

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screen-shot-2016-11-24-at-10.05.37-pm.png

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screen-shot-2016-11-24-at-12.08.11-pm.png

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screen-shot-2016-11-24-at-12.49.08-pm.png

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screen-shot-2016-11-24-at-12.49.43-pm.png

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teeth-whiskers-tongue.png

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vlcsnap-2016-11-24-15h52m47s438.png

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Part 02-Module 05-Lesson 03_Siraj's Image Classification

01. On Keras.html

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02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.en.vtt

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02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.mp4

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02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.pt.vtt

14.78 KB

02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.ru.vtt

22.56 KB

02. How to Make an Image Classifier.html

7.33 KB

index.html

3.59 KB

img

mat-headshot.png

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Part 02-Module 05-Lesson 04_Image Classification

01. Introduction to the Project.html

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01. Project Intro-awEYy2Df3hg.en.vtt

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01. Project Intro-awEYy2Df3hg.mp4

2.89 MB

01. Project Intro-awEYy2Df3hg.pt-BR.vtt

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01. Project Intro-awEYy2Df3hg.zh-CN.vtt

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index.html

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Project Description - Image Classification.html

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Project Rubric - Image Classification.html

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Part 03-Module 01-Lesson 01_Intro to Recurrent Neural Networks

01. Intro To RNNs-64HSG6HAfEI.en-US.vtt

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01. Intro To RNNs-64HSG6HAfEI.mp4

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01. Intro To RNNs-64HSG6HAfEI.pt.vtt

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01. Intro To RNNs-64HSG6HAfEI.zh-CN.vtt

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01. Intro to RNNs.html

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02. LSTMs-RYbSHogZetc.en.vtt

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02. LSTMs-RYbSHogZetc.mp4

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02. LSTMs-RYbSHogZetc.pt.vtt

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02. LSTMs-RYbSHogZetc.zh-CN.vtt

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02. LSTMs.html

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03. Character-Wise RNN-dXl3eWCGLdU.en.vtt

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03. Character-Wise RNN-dXl3eWCGLdU.mp4

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03. Character-wise RNNs.html

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04. Sequence Batching.html

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04. Sequence-Batching-Z4OiyU0Cldg.en.vtt

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04. Sequence-Batching-Z4OiyU0Cldg.mp4

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05. Character-wise RNN Notebook.html

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06. Implementing a Character-wise RNN-KPCMn_jg2oY.en.vtt

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06. Implementing a Character-wise RNN-KPCMn_jg2oY.mp4

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06. Implementing a Character-wise RNN.html

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07. Batching Data Solution-o3nBxHJLQcc.en.vtt

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07. Batching Data Solution-o3nBxHJLQcc.mp4

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07. Batching Data Solution.html

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08. LSTM Cell-ajC-5uWB8S4.en.vtt

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08. LSTM Cell-ajC-5uWB8S4.mp4

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08. LSTM Cell.html

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09. LSTM Cell Solution-X4uA0dq_4jA.en.vtt

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09. LSTM Cell Solution-X4uA0dq_4jA.mp4

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09. LSTM Cell Solution.html

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10. RNN Output-RkanDkcrTxs.en.vtt

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10. RNN Output-RkanDkcrTxs.mp4

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10. RNN Output-RkanDkcrTxs.pt-BR.vtt

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10. RNN Output.html

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11. Network Loss-itu-uNK4brc.en.vtt

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11. Network Loss-itu-uNK4brc.mp4

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11. Network Loss-itu-uNK4brc.pt-BR.vtt

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11. Network Loss-itu-uNK4brc.zh-CN.vtt

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11. Network Loss.html

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12. Output And Loss Solutions-CT8hcU7FmGc.en.vtt

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12. Output And Loss Solutions-CT8hcU7FmGc.mp4

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12. Output And Loss Solutions-CT8hcU7FmGc.pt-BR.vtt

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12. Output And Loss Solutions-CT8hcU7FmGc.zh-CN.vtt

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12. Output and Loss Solutions.html

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13. Build The Network-RVNjDlWTBQU.en.vtt

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13. Build The Network-RVNjDlWTBQU.mp4

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13. Build The Network-RVNjDlWTBQU.pt-BR.vtt

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13. Build the Network.html

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14. Build The Network And Results-hu8iMMqajmQ.en.vtt

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14. Build The Network And Results-hu8iMMqajmQ.mp4

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14. Build The Network And Results-hu8iMMqajmQ.pt-BR.vtt

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14. Build The Network And Results-hu8iMMqajmQ.zh-CN.vtt

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14. Build the Network Solution.html

6.15 KB

15. RNN Resources.html

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index.html

4.56 KB

Part 03-Module 01-Lesson 02_Siraj's Stock Prediction

01. How to Predict Stock Prices Easily - Intro to Deep Learning #7-ftMq5ps503w.en.vtt

18.83 KB

01. How to Predict Stock Prices Easily - Intro to Deep Learning #7-ftMq5ps503w.mp4

39.42 MB

01. How to Predict Stock Prices Easily.html

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index.html

3.53 KB

Part 03-Module 01-Lesson 03_Hyperparameters

01. Introducing Jay.html

5.82 KB

02. Introduction-erwnzFD7AeE.en.vtt

2.34 KB

02. Introduction-erwnzFD7AeE.mp4

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02. Introduction-erwnzFD7AeE.pt-BR.vtt

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02. Introduction-erwnzFD7AeE.zh-CN.vtt

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02. Introduction.html

5.56 KB

03. Learning Rate-HLMjeDez7ps.en.vtt

11.68 KB

03. Learning Rate-HLMjeDez7ps.mp4

9.62 MB

03. Learning Rate-HLMjeDez7ps.pt-BR.vtt

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03. Learning Rate-HLMjeDez7ps.zh-CN.vtt

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03. Learning Rate.html

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04. Learning Rate.html

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05. Minibatch Size-GrrO1NFxaW8.en.vtt

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05. Minibatch Size-GrrO1NFxaW8.mp4

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05. Minibatch Size.html

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06. Number Of Iterations-TTdHpSb4DV8.en.vtt

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06. Number Of Iterations-TTdHpSb4DV8.mp4

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06. Number of Training Iterations Epochs.html

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07. Number of Hidden Units Layers.html

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07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt

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07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp4

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08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt

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08. RNN Hyperparameters-yQvnv7l_aUo.mp4

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08. RNN Hyperparameters.html

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09. RNN Hyperparameters.html

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10. Sources References.html

6.57 KB

index.html

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img

f3iwvmld-400x400.jpg

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Part 03-Module 02-Lesson 01_Embeddings and Word2vec

01. Embeddings Intro.html

6.91 KB

02. Implementing Word2Vec-7M431_f9HgE.en.vtt

16.86 KB

02. Implementing Word2Vec-7M431_f9HgE.mp4

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02. Implementing Word2Vec.html

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03. Subsampling Solution-MAUM_mV_lj8.en.vtt

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03. Subsampling Solution.html

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04. Making Batches-jx7qwdw-94k.en.vtt

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04. Making Batches.html

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05. Batches Solution-DdfR0RjSC-Q.en.vtt

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05. Batches Solution-DdfR0RjSC-Q.mp4

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05. Batches Solution.html

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06. Building The Network-fhSb5c6UX6M.en.vtt

5.14 KB

06. Building The Network-fhSb5c6UX6M.mp4

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06. Building The Network-fhSb5c6UX6M.pt-BR.vtt

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06. Building the Network.html

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07. Negative Sampling-gW17AHBKbHY.en.vtt

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07. Negative Sampling-gW17AHBKbHY.mp4

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07. Negative Sampling-gW17AHBKbHY.pt-BR.vtt

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07. Negative Sampling.html

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08. Building The Network Solution-pkBAhQ2Ki-8.en.vtt

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08. Building The Network Solution-pkBAhQ2Ki-8.mp4

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08. Building the Network Solution.html

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09. Training Results-uISA5ns47s8.en.vtt

4.36 KB

09. Training Results-uISA5ns47s8.mp4

9.78 MB

09. Training Results-uISA5ns47s8.pt-BR.vtt

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09. Training Results.html

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index.html

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img

linear-relationships.png

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mat-headshot.png

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Part 03-Module 02-Lesson 02_Siraj's Style Transfer

01. How to Generate Art - Intro to Deep Learning #8-Oex0eWoU7AQ.en.vtt

14.74 KB

01. How to Generate Art - Intro to Deep Learning #8-Oex0eWoU7AQ.mp4

41.19 MB

01. How to Generate Art.html

6.60 KB

index.html

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Part 03-Module 03-Lesson 01_TensorBoard

01. TensorBoard Intro.html

6.03 KB

02. TensorBoard Graphs 1-M64FWxf1yK4.en.vtt

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02. TensorBoard Graphs 1-M64FWxf1yK4.mp4

12.05 MB

02. TensorBoard Graphs 1-M64FWxf1yK4.pt-BR.vtt

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02. TensorBoard Graphs 1-M64FWxf1yK4.zh-CN.vtt

7.66 KB

02. Viewing Graphs.html

5.07 KB

03. Name Scopes.html

5.06 KB

03. TensorBoard Graphs 2-REmz7HUj6f4.en.vtt

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03. TensorBoard Graphs 2-REmz7HUj6f4.mp4

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04. Inspecting Variables.html

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04. TensorBoard Variables 1-QG41p4Wx5wc.mp4

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05. Choosing Hyperparameters.html

5.12 KB

05. TensorBoard Hyperparameters-THiwPbkjoLQ.en.vtt

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05. TensorBoard Hyperparameters-THiwPbkjoLQ.mp4

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05. TensorBoard Hyperparameters-THiwPbkjoLQ.pt-BR.vtt

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index.html

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img

mat-headshot.png

179.99 KB

Part 03-Module 03-Lesson 02_Siraj's Music Generation

01. How to Generate Music - Intro to Deep Learning #9-4DMm5Lhey1U.en.vtt

14.51 KB

01. How to Generate Music - Intro to Deep Learning #9-4DMm5Lhey1U.mp4

43.47 MB

01. How to Generate Music.html

7.15 KB

02. How to Succeed in any Programming Interview-5KB5KAak6tM.en.vtt

12.07 KB

02. How to Succeed in any Programming Interview-5KB5KAak6tM.ko.vtt

17.44 KB

02. How to Succeed in any Programming Interview-5KB5KAak6tM.mp4

26.98 MB

02. How to Succeed in any Programming Interview-5KB5KAak6tM.ru.vtt

17.80 KB

02. How to Succeed in any Programming Interview.html

5.00 KB

index.html

3.63 KB

Part 03-Module 04-Lesson 01_Siraj's Text Summarization

01. How to Make a Text Summarizer - Intro to Deep Learning #10-ogrJaOIuBx4.en.vtt

17.89 KB

01. How to Make a Text Summarizer - Intro to Deep Learning #10-ogrJaOIuBx4.fi.vtt

16.92 KB

01. How to Make a Text Summarizer - Intro to Deep Learning #10-ogrJaOIuBx4.mp4

36.28 MB

01. How to Make a Text Summarizer - Intro to Deep Learning #10-ogrJaOIuBx4.pt-BR.vtt

17.28 KB

01. How to Make a Text Summarizer.html

6.56 KB

index.html

3.52 KB

Part 03-Module 04-Lesson 02_Weight Initialization

01. Weight Initialization Intro.html

5.65 KB

02. Ones and Zeros.html

5.20 KB

02. Weight Initialization 1-6vXMYu_TQIA.en.vtt

9.67 KB

02. Weight Initialization 1-6vXMYu_TQIA.mp4

10.75 MB

02. Weight Initialization 1-6vXMYu_TQIA.pt-BR.vtt

8.17 KB

02. Weight Initialization 1-6vXMYu_TQIA.zh-CN.vtt

8.12 KB

03. Uniform Distribution.html

5.21 KB

03. Weight Initialization 2-BI3f0Cdc_nU.en.vtt

9.47 KB

03. Weight Initialization 2-BI3f0Cdc_nU.mp4

11.10 MB

03. Weight Initialization 2-BI3f0Cdc_nU.pt-BR.vtt

8.37 KB

03. Weight Initialization 2-BI3f0Cdc_nU.zh-CN.vtt

7.97 KB

04. Too Small.html

5.19 KB

04. Weight Initialization 3-JIQl0jMpdsI.en.vtt

4.24 KB

04. Weight Initialization 3-JIQl0jMpdsI.mp4

5.43 MB

04. Weight Initialization 3-JIQl0jMpdsI.pt-BR.vtt

3.66 KB

04. Weight Initialization 3-JIQl0jMpdsI.zh-CN.vtt

3.57 KB

05. Normal Distribution.html

5.21 KB

05. Weight Initialization 4-FM6t7AsodGQ.en.vtt

8.32 KB

05. Weight Initialization 4-FM6t7AsodGQ.mp4

9.56 MB

05. Weight Initialization 4-FM6t7AsodGQ.pt-BR.vtt

7.27 KB

05. Weight Initialization 4-FM6t7AsodGQ.zh-CN.vtt

6.79 KB

06. Additional Material.html

5.44 KB

index.html

3.86 KB

img

mat-headshot.png

179.99 KB

Part 03-Module 04-Lesson 03_Sentiment Prediction RNN

01. Intro.html

6.34 KB

02. Sentiment Prediction-uGN3rZJRiMY.en.vtt

8.66 KB

02. Sentiment Prediction-uGN3rZJRiMY.mp4

11.25 MB

02. Sentiment Prediction-uGN3rZJRiMY.pt-BR.vtt

7.33 KB

02. Sentiment Prediction-uGN3rZJRiMY.zh-CN.vtt

8.00 KB

02. Sentiment RNN.html

5.24 KB

03. Data Preprocessing-h4-LwZU9_k8.en.vtt

5.33 KB

03. Data Preprocessing-h4-LwZU9_k8.mp4

6.86 MB

03. Data Preprocessing-h4-LwZU9_k8.pt-BR.vtt

4.56 KB

03. Data Preprocessing-h4-LwZU9_k8.zh-CN.vtt

4.45 KB

03. Data Preprocessing.html

5.24 KB

04. Creating Testing Sets-BRBbrNLz1ho.en.vtt

2.02 KB

04. Creating Testing Sets-BRBbrNLz1ho.mp4

2.13 MB

04. Creating Testing Sets-BRBbrNLz1ho.pt-BR.vtt

1.74 KB

04. Creating Testing Sets-BRBbrNLz1ho.zh-CN.vtt

1.68 KB

04. Creating Testing Sets.html

5.58 KB

05. Building The RNN 1-XTD6slf64fM.en.vtt

13.87 KB

05. Building The RNN 1-XTD6slf64fM.mp4

19.11 MB

05. Building The RNN 1-XTD6slf64fM.pt-BR.vtt

12.30 KB

05. Building The RNN 1-XTD6slf64fM.zh-CN.vtt

12.07 KB

05. Building the RNN.html

5.43 KB

06. Training The Network-nknJ3Xu3ld0.en.vtt

6.38 KB

06. Training The Network-nknJ3Xu3ld0.mp4

8.41 MB

06. Training The Network-nknJ3Xu3ld0.pt-BR.vtt

5.70 KB

06. Training The Network-nknJ3Xu3ld0.zh-CN.vtt

5.42 KB

06. Training the Network.html

5.25 KB

07. Sentiment RNN 2-V9YGGjmoHS0.en.vtt

17.68 KB

07. Sentiment RNN 2-V9YGGjmoHS0.mp4

23.11 MB

07. Sentiment RNN 2-V9YGGjmoHS0.pt-BR.vtt

15.77 KB

07. Sentiment RNN 2-V9YGGjmoHS0.zh-CN.vtt

14.72 KB

07. Solutions.html

5.21 KB

index.html

3.90 KB

img

mat-headshot.png

179.99 KB

Part 03-Module 04-Lesson 04_Generate TV Scripts

01. Introduction.html

5.13 KB

01. Project-3-Intro-qNpv7IjQzo0.en-US.vtt

0.68 KB

01. Project-3-Intro-qNpv7IjQzo0.en.vtt

0.65 KB

01. Project-3-Intro-qNpv7IjQzo0.mp4

667.23 KB

01. Project-3-Intro-qNpv7IjQzo0.pt-BR.vtt

0.70 KB

01. Project-3-Intro-qNpv7IjQzo0.zh-CN.vtt

0.63 KB

02. TV Script Workspace.html

5.44 KB

index.html

3.76 KB

Project Description - Generate TV Scripts.html

6.53 KB

Project Rubric - Generate TV Scripts.html

12.85 KB

Part 03-Module 05-Lesson 01_Transfer Learning in TensorFlow

01. Transfer Learning Intro.html

7.12 KB

02. Transfer Learning with VGGNet.html

5.59 KB

02. Transfer Learning--WmQwYr0DYjY.en.vtt

6.92 KB

02. Transfer Learning--WmQwYr0DYjY.mp4

8.28 MB

02. Transfer Learning--WmQwYr0DYjY.pt-BR.vtt

6.01 KB

02. Transfer Learning--WmQwYr0DYjY.zh-CN.vtt

6.42 KB

03. Building VGGNet-615SslQiGvo.en.vtt

7.52 KB

03. Building VGGNet-615SslQiGvo.mp4

8.87 MB

03. Building VGGNet-615SslQiGvo.pt-BR.vtt

6.26 KB

03. Building VGGNet-615SslQiGvo.zh-CN.vtt

6.26 KB

03. VGGNet.html

5.53 KB

04. Pretrained VGGNet-BpzI6Svmuv8.en.vtt

2.04 KB

04. Pretrained VGGNet-BpzI6Svmuv8.mp4

3.16 MB

04. Pretrained VGGNet-BpzI6Svmuv8.pt-BR.vtt

1.74 KB

04. Pretrained VGGNet-BpzI6Svmuv8.zh-CN.vtt

1.71 KB

04. VGGNet Solution.html

5.56 KB

05. Data Preparation-WfsDMq-b3y4.en.vtt

7.04 KB

05. Data Preparation-WfsDMq-b3y4.mp4

9.23 MB

05. Data Preparation-WfsDMq-b3y4.pt-BR.vtt

6.15 KB

05. Data Preparation-WfsDMq-b3y4.zh-CN.vtt

6.34 KB

05. Data Preparation.html

5.55 KB

06. Data Preparation Solution.html

5.57 KB

06. Data Preparation-WEtKkHlhhZA.en.vtt

3.52 KB

06. Data Preparation-WEtKkHlhhZA.mp4

4.40 MB

06. Data Preparation-WEtKkHlhhZA.pt-BR.vtt

3.01 KB

06. Data Preparation-WEtKkHlhhZA.zh-CN.vtt

3.30 KB

07. Building The Classifier-pPHiVddBY0Q.en.vtt

1.61 KB

07. Building The Classifier-pPHiVddBY0Q.mp4

1.99 MB

07. Building The Classifier-pPHiVddBY0Q.pt-BR.vtt

1.41 KB

07. Building The Classifier-pPHiVddBY0Q.zh-CN.vtt

1.53 KB

07. Classifier.html

5.58 KB

08. Building The Classifier-6ifxRQ_gL7w.en.vtt

3.61 KB

08. Building The Classifier-6ifxRQ_gL7w.mp4

3.99 MB

08. Building The Classifier-6ifxRQ_gL7w.pt-BR.vtt

3.13 KB

08. Building The Classifier-6ifxRQ_gL7w.zh-CN.vtt

2.95 KB

08. Classifier Solution.html

5.59 KB

09. Training The Classifier-b7Fy3cIoJ1Y.en.vtt

3.34 KB

09. Training The Classifier-b7Fy3cIoJ1Y.mp4

4.19 MB

09. Training The Classifier-b7Fy3cIoJ1Y.pt-BR.vtt

2.63 KB

09. Training The Classifier-b7Fy3cIoJ1Y.zh-CN.vtt

2.81 KB

09. Training.html

5.57 KB

10. Training And Testing-NLPtmQjGYCA.en.vtt

5.83 KB

10. Training And Testing-NLPtmQjGYCA.mp4

8.23 MB

10. Training And Testing-NLPtmQjGYCA.pt-BR.vtt

5.06 KB

10. Training And Testing-NLPtmQjGYCA.zh-CN.vtt

4.73 KB

10. Training solution.html

5.58 KB

index.html

4.16 KB

img

mat-headshot.png

179.99 KB

Part 03-Module 05-Lesson 02_Siraj's Language Translation

01. How to Make a Language Translator - Intro to Deep Learning #11-nRBnh4qbPHI.en.vtt

13.70 KB

01. How to Make a Language Translator - Intro to Deep Learning #11-nRBnh4qbPHI.mp4

36.56 MB

01. How to Make a Language Translator.html

7.51 KB

index.html

3.54 KB

Part 03-Module 06-Lesson 01_Sequence to Sequence

01. Introducing Jay Alammar.html

6.28 KB

02. Jay Introduction.html

5.62 KB

02. Jay's Introduction-HPOzAlXhuxQ.en.vtt

5.72 KB

02. Jay's Introduction-HPOzAlXhuxQ.mp4

5.81 MB

02. Jay's Introduction-HPOzAlXhuxQ.pt-BR.vtt

5.58 KB

02. Jay's Introduction-HPOzAlXhuxQ.zh-CN.vtt

5.15 KB

03. Applications seq2seq-tDJBDwriJYQ.en.vtt

2.63 KB

03. Applications seq2seq-tDJBDwriJYQ.mp4

2.48 MB

03. Applications seq2seq-tDJBDwriJYQ.pt-BR.vtt

2.50 KB

03. Applications seq2seq-tDJBDwriJYQ.zh-CN.vtt

2.41 KB

03. Applications.html

5.60 KB

04. Architecture encoder decoder-dkHdEAJnV_w.en.vtt

5.45 KB

04. Architecture encoder decoder-dkHdEAJnV_w.mp4

4.49 MB

04. Architecture encoder decoder-dkHdEAJnV_w.pt-BR.vtt

4.92 KB

04. Architecture encoder decoder-dkHdEAJnV_w.zh-CN.vtt

4.82 KB

04. Architectures.html

5.64 KB

05. Architecture in More Depth-rdAo4MqLbEk.en.vtt

5.17 KB

05. Architecture in More Depth-rdAo4MqLbEk.mp4

5.35 MB

05. Architecture in More Depth-rdAo4MqLbEk.pt-BR.vtt

5.02 KB

05. Architecture in More Depth-rdAo4MqLbEk.zh-CN.vtt

4.56 KB

05. Architectures in More Depth.html

5.66 KB

06. Preprocessing-ktQW6p9pOS4.en.vtt

7.27 KB

06. Preprocessing-ktQW6p9pOS4.mp4

8.88 MB

06. Preprocessing-ktQW6p9pOS4.pt-BR.vtt

6.81 KB

06. Preprocessing-ktQW6p9pOS4.zh-CN.vtt

6.40 KB

06. Preprocessing.html

6.13 KB

07. Sequence to sequence in TensorFlow.html

8.54 KB

08. Inputs.html

15.83 KB

09. Further Reading.html

6.07 KB

10. Sequence to Sequence in TensorFlow.html

5.78 KB

index.html

4.19 KB

img

mat-headshot.png

179.99 KB

sequence-to-sequence-embedding-encoder-decoder.png

21.96 KB

sequence-to-sequence-high-level-encoder-decoder.png

11.54 KB

sequence-to-sequence-unrolled-encoder-decoder.png

22.50 KB

Part 03-Module 06-Lesson 02_Siraj's Chatbot

01. How to Make a Chatbot - Intro to Deep Learning #12-t5qgjJIBy9g.en.vtt

16.80 KB

01. How to Make a Chatbot - Intro to Deep Learning #12-t5qgjJIBy9g.mp4

47.55 MB

01. How to Make a Chatbot.html

6.62 KB

index.html

3.49 KB

Part 03-Module 07-Lesson 01_Reinforcement Learning

01. Reinforcement Learning Lesson.html

6.08 KB

02. 01 Q-Learning-Npu9gyD6-4o.en.vtt

2.81 KB

02. 01 Q-Learning-Npu9gyD6-4o.mp4

3.09 MB

02. 01 Q-Learning-Npu9gyD6-4o.pt-BR.vtt

2.78 KB

02. 01 Q-Learning-Npu9gyD6-4o.zh-CN.vtt

2.57 KB

02. Reinforcement Learning.html

4.98 KB

03. 02 Q-Learning-WQgdnzzhSLM.en.vtt

9.75 KB

03. 02 Q-Learning-WQgdnzzhSLM.mp4

10.61 MB

03. 02 Q-Learning-WQgdnzzhSLM.pt-BR.vtt

9.33 KB

03. 02 Q-Learning-WQgdnzzhSLM.zh-CN.vtt

8.55 KB

03. Q-Learning.html

4.95 KB

04. Deep Q-Learning.html

5.99 KB

index.html

3.72 KB

img

mat-headshot.png

179.99 KB

Part 03-Module 07-Lesson 02_Siraj's Reinforcement Learning

01. How to Win Slot Machines - Intro to Deep Learning #13-AIeWLTUYLZQ.en.vtt

17.20 KB

01. How to Win Slot Machines - Intro to Deep Learning #13-AIeWLTUYLZQ.mp4

51.99 MB

01. How to Win Slot Machines.html

6.78 KB

index.html

3.52 KB

Part 03-Module 07-Lesson 03_Translation Project

01. Introduction.html

4.96 KB

01. Machine Translation Intro-5thBwpcYoiI.en.vtt

1.08 KB

01. Machine Translation Intro-5thBwpcYoiI.mp4

3.86 MB

01. Machine Translation Intro-5thBwpcYoiI.pt-BR.vtt

0.99 KB

01. Machine Translation Intro-5thBwpcYoiI.zh-CN.vtt

1.00 KB

index.html

3.69 KB

Project Description - Translation Project.html

5.94 KB

Project Rubric - Translation Project.html

9.59 KB

Part 03-Module 08-Lesson 01_Siraj's Image Generation

01. How to Generate Images - Intro to Deep Learning #14-3-UDwk1U77s.en.vtt

16.52 KB

01. How to Generate Images - Intro to Deep Learning #14-3-UDwk1U77s.mp4

50.72 MB

01. How to Generate Images.html

6.87 KB

index.html

3.51 KB

Part 03-Module 08-Lesson 02_Autoencoders

01. Autoencoder Lesson Intro.html

6.49 KB

02. Autoencoders-ar5Iyx68cWc.en.vtt

2.41 KB

02. Autoencoders-ar5Iyx68cWc.mp4

2.22 MB

02. Autoencoders-ar5Iyx68cWc.pt-BR.vtt

2.36 KB

02. Autoencoders-ar5Iyx68cWc.zh-CN.vtt

2.18 KB

02. Autoencoders.html

5.20 KB

03. A Simple Autoencoder.html

5.03 KB

03. A-Simple-Autoencoders 21718-lXGdkCT8E1c.en.vtt

12.95 KB

03. A-Simple-Autoencoders 21718-lXGdkCT8E1c.mp4

15.66 MB

04. Simple Autoencoder Solution-Nv_D6DHfEk8.en.vtt

7.04 KB

04. Simple Autoencoder Solution-Nv_D6DHfEk8.mp4

8.59 MB

04. Simple Autoencoder Solution-Nv_D6DHfEk8.pt-BR.vtt

6.43 KB

04. Simple Autoencoder Solution-Nv_D6DHfEk8.zh-CN.vtt

5.88 KB

04. Simple Autoencoder Solution.html

5.31 KB

05. Convolutional Autoencoders-18SZVRaumGs.en.vtt

14.17 KB

05. Convolutional Autoencoders-18SZVRaumGs.mp4

21.51 MB

05. Convolutional Autoencoders-18SZVRaumGs.pt-BR.vtt

13.87 KB

05. Convolutional Autoencoders-18SZVRaumGs.zh-CN.vtt

12.04 KB

05. Convolutional Autoencoders.html

5.30 KB

06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.en.vtt

8.10 KB

06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.mp4

12.68 MB

06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.pt-BR.vtt

7.78 KB

06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.zh-CN.vtt

7.00 KB

06. Convolutional Autoencoders Solution.html

5.36 KB

index.html

3.92 KB

img

autoencoder-1.png

24.69 KB

mat-headshot.png

179.99 KB

Part 04-Module 01-Lesson 01_Generative Adversarial Networks

01. GANs Intro-F7XgI6TmaGI.en-US.vtt

1.57 KB

01. GANs Intro-F7XgI6TmaGI.en.vtt

1.32 KB

01. GANs Intro-F7XgI6TmaGI.mp4

3.24 MB

01. GANs Intro-F7XgI6TmaGI.pt-BR.vtt

1.29 KB

01. GANs Intro-F7XgI6TmaGI.zh-CN.vtt

1.45 KB

01. Introducing Ian Goodfellow.html

6.55 KB

02. Cool Things To Do With GANs-bo-ToTdhgew.en.vtt

7.34 KB

02. Cool Things To Do With GANs-bo-ToTdhgew.mp4

11.98 MB

02. Cool Things To Do With GANs-bo-ToTdhgew.pt-BR.vtt

6.86 KB

02. Cool Things To Do With GANs-bo-ToTdhgew.zh-CN.vtt

6.94 KB

02. What can you do with GANs.html

6.52 KB

03. How GANs work.html

6.82 KB

03. Other Generative Models, How GANs Work-MF0QCP1OC9I.en.vtt

7.42 KB

03. Other Generative Models, How GANs Work-MF0QCP1OC9I.mp4

10.28 MB

03. Other Generative Models, How GANs Work-MF0QCP1OC9I.pt-BR.vtt

7.48 KB

03. Other Generative Models, How GANs Work-MF0QCP1OC9I.zh-CN.vtt

6.41 KB

04. Games and Equilibria.html

6.57 KB

04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.en.vtt

10.72 KB

04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.mp4

13.40 MB

04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.pt-BR.vtt

11.23 KB

04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.zh-CN.vtt

9.47 KB

05. GANs Architecture -gaEs7ccZv_Q.en.vtt

11.75 KB

05. GANs Architecture -gaEs7ccZv_Q.mp4

15.96 MB

05. GANs Architecture -gaEs7ccZv_Q.pt-BR.vtt

12.52 KB

05. GANs Architecture -gaEs7ccZv_Q.zh-CN.vtt

10.22 KB

05. Practical tips and tricks for training GANs.html

6.51 KB

06. Build a GAN.html

7.21 KB

07. Get started with a GAN.html

6.50 KB

07. Getting Started with GANs-QA2ntKUha4g.en.vtt

4.00 KB

07. Getting Started with GANs-QA2ntKUha4g.mp4

5.04 MB

07. Getting Started with GANs-QA2ntKUha4g.pt-BR.vtt

3.82 KB

07. Getting Started with GANs-QA2ntKUha4g.zh-CN.vtt

3.63 KB

08. Generator Network-btHVXnICmzQ.en.vtt

6.74 KB

08. Generator Network-btHVXnICmzQ.mp4

7.08 MB

08. Generator Network-btHVXnICmzQ.pt-BR.vtt

6.01 KB

08. Generator Network-btHVXnICmzQ.zh-CN.vtt

6.08 KB

08. Generator Network.html

6.45 KB

09. Discriminator Network-nWXxT8OqCfs.en.vtt

1.09 KB

09. Discriminator Network-nWXxT8OqCfs.mp4

1.04 MB

09. Discriminator Network-nWXxT8OqCfs.pt-BR.vtt

0.92 KB

09. Discriminator Network-nWXxT8OqCfs.zh-CN.vtt

1.06 KB

09. Discriminator Network.html

6.48 KB

10. Generator and Discriminator Solutions-9By2pAck044.en.vtt

5.94 KB

10. Generator and Discriminator Solutions-9By2pAck044.mp4

6.29 MB

10. Generator and Discriminator Solutions-9By2pAck044.pt-BR.vtt

5.24 KB

10. Generator and Discriminator Solutions-9By2pAck044.zh-CN.vtt

5.29 KB

10. Generator and Discriminator Solutions.html

6.59 KB

11. Building the Network-5sZkRSHfiAE.en.vtt

3.83 KB

11. Building the Network-5sZkRSHfiAE.mp4

4.22 MB

11. Building the Network-5sZkRSHfiAE.pt-BR.vtt

3.37 KB

11. Building the Network-5sZkRSHfiAE.zh-CN.vtt

3.45 KB

11. Building the Network.html

6.47 KB

12. Building the Network Solution-Ikp3rVzG970.en.vtt

3.43 KB

12. Building the Network Solution-Ikp3rVzG970.mp4

4.33 MB

12. Building the Network Solution-Ikp3rVzG970.pt-BR.vtt

2.89 KB

12. Building the Network Solution-Ikp3rVzG970.zh-CN.vtt

3.08 KB

12. Building the Network Solution.html

6.54 KB

13. Training Losses-IaAeDrXMEcU.en.vtt

3.76 KB

13. Training Losses-IaAeDrXMEcU.mp4

5.83 MB

13. Training Losses-IaAeDrXMEcU.pt-BR.vtt

3.60 KB

13. Training Losses-IaAeDrXMEcU.zh-CN.vtt

3.33 KB

13. Training Losses.html

6.44 KB

14. Training Optimizers-AU5gH7LS57E.en.vtt

3.04 KB

14. Training Optimizers-AU5gH7LS57E.mp4

3.45 MB

14. Training Optimizers-AU5gH7LS57E.pt-BR.vtt

2.70 KB

14. Training Optimizers-AU5gH7LS57E.zh-CN.vtt

2.67 KB

14. Training Optimizers.html

6.47 KB

15. Training Losses and Optimizers Solution.html

6.61 KB

15. Training Losses and Optimizers Solutions-HlABZ9Q7xEo.en.vtt

5.07 KB

15. Training Losses and Optimizers Solutions-HlABZ9Q7xEo.mp4

6.82 MB

15. Training Losses and Optimizers Solutions-HlABZ9Q7xEo.pt-BR.vtt

4.99 KB

15. Training Losses and Optimizers Solutions-HlABZ9Q7xEo.zh-CN.vtt

4.59 KB

16. A Trained GAN-TR-uEJcjig4.en.vtt

9.95 KB

16. A Trained GAN-TR-uEJcjig4.mp4

11.67 MB

16. A Trained GAN-TR-uEJcjig4.pt-BR.vtt

9.13 KB

16. A Trained GAN-TR-uEJcjig4.zh-CN.vtt

8.90 KB

16. A Trained GAN.html

6.43 KB

17. Doing More With Your GAN.html

8.10 KB

index.html

4.88 KB

img

generated-mnist.png

345.99 KB

mat-headshot.png

179.99 KB

Part 04-Module 01-Lesson 02_Siraj's Video Generation

01. How to Generate Video - Intro to Deep Learning #15--E2N1kQc8MM.en.vtt

18.02 KB

01. How to Generate Video - Intro to Deep Learning #15--E2N1kQc8MM.mp4

46.79 MB

01. How to Generate Video.html

7.36 KB

index.html

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Part 04-Module 02-Lesson 01_Siraj's One-Shot Learning

01. How to Learn from Little Data - Intro to Deep Learning #17-tChcZpBbTTA.en.vtt

15.21 KB

01. How to Learn from Little Data - Intro to Deep Learning #17-tChcZpBbTTA.mp4

35.35 MB

01. How to Learn from Little Data - Intro to Deep Learning #17-tChcZpBbTTA.nl.vtt

13.52 KB

01. How to Learn from Little Data.html

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index.html

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Part 04-Module 02-Lesson 02_Hyperparameters

01. Introducing Jay.html

5.82 KB

02. Introduction-erwnzFD7AeE.en.vtt

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02. Introduction-erwnzFD7AeE.mp4

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02. Introduction-erwnzFD7AeE.pt-BR.vtt

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02. Introduction-erwnzFD7AeE.zh-CN.vtt

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02. Introduction.html

5.56 KB

03. Learning Rate-HLMjeDez7ps.en.vtt

11.68 KB

03. Learning Rate-HLMjeDez7ps.mp4

9.62 MB

03. Learning Rate-HLMjeDez7ps.pt-BR.vtt

10.29 KB

03. Learning Rate-HLMjeDez7ps.zh-CN.vtt

10.11 KB

03. Learning Rate.html

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04. Learning Rate.html

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05. Minibatch Size-GrrO1NFxaW8.en.vtt

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05. Minibatch Size-GrrO1NFxaW8.mp4

4.78 MB

05. Minibatch Size-GrrO1NFxaW8.pt-BR.vtt

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05. Minibatch Size-GrrO1NFxaW8.zh-CN.vtt

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05. Minibatch Size.html

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06. Number Of Iterations-TTdHpSb4DV8.en.vtt

1.63 KB

06. Number Of Iterations-TTdHpSb4DV8.mp4

1.46 MB

06. Number Of Iterations-TTdHpSb4DV8.pt-BR.vtt

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06. Number Of Iterations-TTdHpSb4DV8.zh-CN.vtt

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06. Number of Training Iterations Epochs.html

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07. Number of Hidden Units Layers.html

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07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt

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07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp4

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07. Number Of Hidden Units Layers-IkGAIQH5wH8.pt-BR.vtt

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07. Number Of Hidden Units Layers-IkGAIQH5wH8.zh-CN.vtt

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08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt

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08. RNN Hyperparameters-yQvnv7l_aUo.mp4

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08. RNN Hyperparameters-yQvnv7l_aUo.pt-BR.vtt

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08. RNN Hyperparameters-yQvnv7l_aUo.zh-CN.vtt

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08. RNN Hyperparameters.html

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09. RNN Hyperparameters.html

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10. Sources References.html

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index.html

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img

f3iwvmld-400x400.jpg

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Part 04-Module 02-Lesson 03_Deep Convolutional GANs

01. Deep Convolutional GANs.html

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02. DCGAN Architecture.html

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02. Deconvolution-sX_AxtB6CHI.en.vtt

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02. Deconvolution-sX_AxtB6CHI.mp4

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02. Deconvolution-sX_AxtB6CHI.pt-BR.vtt

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02. Deconvolution-sX_AxtB6CHI.zh-CN.vtt

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03. Batch Normalization.html

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04. DCGAN Implementation.html

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05. DCGAN And The Generator-CH6BxLTKt7s.en.vtt

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05. DCGAN And The Generator-CH6BxLTKt7s.mp4

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05. DCGAN And The Generator-CH6BxLTKt7s.pt-BR.vtt

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05. DCGAN And The Generator-CH6BxLTKt7s.zh-CN.vtt

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05. DCGAN and the Generator.html

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06. Generator Solution-jyPwUEZg05Q.en.vtt

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06. Generator Solution-jyPwUEZg05Q.mp4

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06. Generator Solution-jyPwUEZg05Q.pt-BR.vtt

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06. Generator Solution-jyPwUEZg05Q.zh-CN.vtt

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06. Generator Solution.html

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07. Discriminator-XRqOUbf96eI.en.vtt

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07. Discriminator-XRqOUbf96eI.mp4

3.25 MB

07. Discriminator-XRqOUbf96eI.pt-BR.vtt

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07. Discriminator-XRqOUbf96eI.zh-CN.vtt

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07. Discriminator.html

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08. Discriminator Solution-ffPWI2yJscw.en.vtt

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08. Discriminator Solution-ffPWI2yJscw.mp4

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08. Discriminator Solution-ffPWI2yJscw.pt-BR.vtt

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08. Discriminator Solution.html

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09. Building And Training The Network-nXKk9GI4X14.en.vtt

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09. Building And Training The Network-nXKk9GI4X14.mp4

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09. Building And Training The Network-nXKk9GI4X14.pt-BR.vtt

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09. Building And Training The Network-nXKk9GI4X14.zh-CN.vtt

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09. Building and Training the Network.html

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10. Hyperparameter Solutions.html

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10. Hyperparameters Solution-Rt8MlVDtpi8.en.vtt

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10. Hyperparameters Solution-Rt8MlVDtpi8.mp4

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10. Hyperparameters Solution-Rt8MlVDtpi8.pt-BR.vtt

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10. Hyperparameters Solution-Rt8MlVDtpi8.zh-CN.vtt

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index.html

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img

mat-headshot.png

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svhn-examples.png

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Part 04-Module 02-Lesson 04_Generate Faces

01. Last Project - Congrats-UUqU8SYBZ9Q.en.vtt

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01. Last Project - Congrats-UUqU8SYBZ9Q.mp4

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01. Last Project - Congrats-UUqU8SYBZ9Q.pt-BR.vtt

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01. Last Project - Congrats-UUqU8SYBZ9Q.zh-CN.vtt

0.75 KB

01. One Project Away!.html

5.16 KB

02. P5 Intro-jvJtHYBX7sM.en.vtt

1.04 KB

02. P5 Intro-jvJtHYBX7sM.mp4

1.61 MB

02. P5 Intro-jvJtHYBX7sM.pt-BR.vtt

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02. P5 Intro-jvJtHYBX7sM.zh-CN.vtt

1.07 KB

02. Project Introduction.html

5.09 KB

03. Face Generation Workspace.html

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index.html

3.83 KB

Project Description - Generate Faces.html

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Project Rubric - Generate Faces.html

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Part 04-Module 02-Lesson 05_Semi-Supervised Learning

01. Semi-supervised Learning.html

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02. Semi-Supervised Classification with GANs.html

6.03 KB

02. Semi-Supervised Learning-_LRpHPxZaX0.en.vtt

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02. Semi-Supervised Learning-_LRpHPxZaX0.mp4

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02. Semi-Supervised Learning-_LRpHPxZaX0.pt-BR.vtt

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02. Semi-Supervised Learning-_LRpHPxZaX0.zh-CN.vtt

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03. Introducing Semi-Supervised Learning-tnCClNy5z5c.en.vtt

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03. Introducing Semi-Supervised Learning-tnCClNy5z5c.mp4

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03. Introducing Semi-Supervised Learning-tnCClNy5z5c.pt-BR.vtt

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03. Introducing Semi-Supervised Learning.html

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04. Data Prep-P5hOx09mwaM.en.vtt

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04. Data Prep-P5hOx09mwaM.mp4

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04. Data Prep-P5hOx09mwaM.pt-BR.vtt

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04. Data Prep.html

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05. Building The Generator And Discriminator-OWytckbbeGQ.en.vtt

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05. Building The Generator And Discriminator-OWytckbbeGQ.mp4

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05. Building The Generator And Discriminator-OWytckbbeGQ.pt-BR.vtt

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05. Building The Generator And Discriminator.html

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06. Model Loss Exercise-W7TawMNxBds.en.vtt

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06. Model Loss Exercise-W7TawMNxBds.mp4

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06. Model Loss Exercise-W7TawMNxBds.pt-BR.vtt

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06. Model Loss Exercise.html

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07. Model Optimization Exercise-wNpI1wUA4Io.en.vtt

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07. Model Optimization Exercise-wNpI1wUA4Io.mp4

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07. Model Optimization Exercise-wNpI1wUA4Io.pt-BR.vtt

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07. Model Optimization Exercise.html

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08. Training The Network -P-LXQPVXl4A.en.vtt

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08. Training The Network -P-LXQPVXl4A.mp4

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08. Training The Network -P-LXQPVXl4A.pt-BR.vtt

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08. Training The Network.html

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09. Discriminator Solution-_X8ssUzu_Bo.en.vtt

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09. Discriminator Solution-_X8ssUzu_Bo.mp4

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09. Discriminator Solution-_X8ssUzu_Bo.pt-BR.vtt

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09. Discriminator Solution.html

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10. Model Loss Solution-r3DtohmychE.en.vtt

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10. Model Loss Solution-r3DtohmychE.mp4

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10. Model Loss Solution-r3DtohmychE.pt-BR.vtt

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10. Model Loss Solution.html

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11. Model Optimizer Solution-_Qhz9SbR7xY.en.vtt

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11. Model Optimizer Solution-_Qhz9SbR7xY.mp4

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11. Model Optimizer Solution-_Qhz9SbR7xY.pt-BR.vtt

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11. Model Optimizer Solution.html

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12. Trained Semi-Supervised GAN-9yWYZDX8-O8.en.vtt

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12. Trained Semi-Supervised GAN-9yWYZDX8-O8.mp4

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12. Trained Semi-Supervised GAN-9yWYZDX8-O8.pt-BR.vtt

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12. Trained Semi-Supervised GAN-9yWYZDX8-O8.zh-CN.vtt

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12. Trained Semi-Supervised GAN.html

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index.html

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img

mat-headshot.png

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Part 05-Module 01-Lesson 01_Enroll in your next Nanodegree program

01. Enroll in your next ND program.html

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index.html

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img

carnd.jpg

5.35 MB

Part 06-Module 01-Lesson 01_Welcome to Deep Learning

01. 01 Welcome To The Deep Learning Program-3QPEmwq2NaE.mp4

14.28 MB

01. Welcome to the Deep Learning Nanodegree Program.html

5.36 KB

02. Meet Your Instructors--UOFRxCu414.en.vtt

1.78 KB

02. Meet Your Instructors--UOFRxCu414.mp4

5.86 MB

02. Meet Your Instructors--UOFRxCu414.pt-BR.vtt

1.95 KB

02. Meet Your Instructors--UOFRxCu414.zh-CN.vtt

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02. Meet Your Instructors.html

5.64 KB

03. Learning Plan.html

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04. Program Structure.html

12.80 KB

05. Projects You will Build-PqpdX7YxTlU.en.vtt

2.44 KB

05. Projects You will Build-PqpdX7YxTlU.mp4

6.15 MB

05. Projects You will Build-PqpdX7YxTlU.pt-BR.vtt

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05. Projects You will Build-PqpdX7YxTlU.zh-CN.vtt

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05. Projects You Will Build.html

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06. Deadline Policy.html

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07. Udacity Support.html

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08. Community Guidelines.html

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09. Prerequisites.html

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10. Getting Set Up.html

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10. Getting-Setup-1SuxTnuQkeE.en.vtt

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10. Getting-Setup-1SuxTnuQkeE.mp4

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10. Getting-Setup-1SuxTnuQkeE.pt-BR.vtt

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index.html

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img

convolutional-neural-networks-2.jpg

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examples.jpg

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faces.png

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karpathy-network.png

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quadcopter.png

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review-example.png

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rnn.png

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screen-shot-2017-01-26-at-2.51.02-pm.png

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screen-shot-2018-06-12-at-5.07.10-pm.png

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Part 06-Module 01-Lesson 02_Applying Deep Learning

01. Introduction.html

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02. Style Transfer.html

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03. DeepTraffic.html

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.en-US.vtt

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.en.vtt

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.mp4

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.pt-BR.vtt

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.zh-CN.vtt

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04. Flappy Bird.html

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05. Books to Read.html

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index.html

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img

chi-waves.png

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flappy-bird.jpg

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grokking-deep-learning.jpg

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Part 06-Module 01-Lesson 03_Anaconda

01. Instructor.html

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02. Introduction.html

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02. Why Anaconda-VXukXZv7SCQ.ar.vtt

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02. Why Anaconda-VXukXZv7SCQ.en.vtt

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02. Why Anaconda-VXukXZv7SCQ.mp4

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02. Why Anaconda-VXukXZv7SCQ.pt-BR.vtt

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02. Why Anaconda-VXukXZv7SCQ.zh-CN.vtt

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03. What is Anaconda.html

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04. Installing Anaconda.html

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05. Managing packages.html

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06. Managing environments.html

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07. More environment actions.html

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08. Best practices.html

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09. On Python versions at Udacity.html

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index.html

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img

conda-create-env.png

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conda-env-export.png

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conda-install.png

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conda-search.png

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screen-shot-2018-03-19-at-2.49.57-pm.png

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media

conda_default_install.mp4

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conda_enter.mp4

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conda_install.mp4

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Part 06-Module 01-Lesson 04_Jupyter Notebooks

01. Instructor.html

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02. Jupyter-qiYDWFLyXvg.ar.vtt

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02. Jupyter-qiYDWFLyXvg.en.vtt

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02. Jupyter-qiYDWFLyXvg.mp4

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02. Jupyter-qiYDWFLyXvg.pt-BR.vtt

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02. Jupyter-qiYDWFLyXvg.zh-CN.vtt

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02. What are Jupyter notebooks.html

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03. Installing Jupyter Notebook.html

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04. Launching the notebook server.html

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05. Notebook interface.html

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06. Code cells.html

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07. Markdown cells.html

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08. Keyboard shortcuts.html

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09. Magic keywords.html

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10. Converting notebooks.html

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11. Creating a slideshow.html

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12. Finishing up.html

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index.html

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img

conda-environments.png

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conda-tab.png

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magic-matplotlib.png

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magic-pdb.png

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magic-timeit.png

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nbconvert-example.png

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notebook-components.png

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media

command+palette.mp4

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Part 06-Module 01-Lesson 05_Matrix Math and NumPy Refresher

01. Introduction.html

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02. Data Dimensions.html

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02. Data Has Dimensions-F4NSv776X0c.en.vtt

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03. Data in NumPy.html

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04. Element-wise Matrix Operations-vjUykZyzko4.en.vtt

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04. Element-wise Matrix Operations-vjUykZyzko4.mp4

4.03 MB

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04. Element-wise Matrix Operations.html

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05. Element-wise Operations in NumPy.html

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06. Matrix Multiplication Part 1-JRoCFQRP4B0.en.vtt

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06. Matrix Multiplication Part 1-JRoCFQRP4B0.mp4

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06. Matrix Multiplication Part 1.html

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07. Matrix Multiplication Part 2-8jtk8BzBdj8.en.vtt

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07. Matrix Multiplication Part 2-8jtk8BzBdj8.mp4

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07. Matrix Multiplication Part 2.html

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08. NumPy Matrix Multiplication.html

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09. Matrix Transposes-NVK5xCY3CZE.en-US.vtt

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09. Matrix Transposes-NVK5xCY3CZE.mp4

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09. Matrix Transposes.html

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10. Transposes in NumPy.html

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11. NumPy Quiz.html

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index.html

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img

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Part 07-Module 01-Lesson 01_Introduction to Neural Networks

01. Instructor.html

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02. Introduction-tn-CrUTkCUc.en.vtt

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02. Introduction-tn-CrUTkCUc.mp4

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02. Introduction.html

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03. Classification Problems 1.html

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04. Classification Example-46PywnGa_cQ.en.vtt

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04. Classification Problems 2.html

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05. Linear Boundaries-X-uMlsBi07k.en.vtt

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06. 09 Higher Dimensions-eBHunImDmWw.en.vtt

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06. Higher Dimensions.html

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07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt

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07. Perceptrons.html

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08. Why Neural Networks-zAkzOZntK6Y.en.vtt

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08. Why Neural Networks.html

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09. AND And OR Perceptrons-45K5N0P9wJk.en.vtt

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09. AND And OR Perceptrons-45K5N0P9wJk.mp4

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09. AND And OR Perceptrons-45K5N0P9wJk.pt-BR.vtt

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09. AND And OR Perceptrons-45K5N0P9wJk.zh-CN.vtt

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09. Perceptrons as Logical Operators.html

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09. XOR Perceptron-TF83GfjYLdw.en.vtt

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09. XOR Perceptron-TF83GfjYLdw.mp4

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09. XOR Perceptron-TF83GfjYLdw.pt-BR.vtt

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10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt

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10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4

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10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.pt-BR.vtt

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10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.zh-CN.vtt

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10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt

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10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4

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10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt

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10. Perceptron Algorithm--zhTROHtscQ.en.vtt

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10. Perceptron Algorithm--zhTROHtscQ.mp4

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10. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt

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10. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt

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10. Perceptron Trick.html

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11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt

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11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4

2.87 MB

11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt

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11. Perceptron Algorithm.html

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12. Non-Linear Regions-B8UrWnHh1Wc.en.vtt

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12. Non-Linear Regions-B8UrWnHh1Wc.mp4

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12. Non-Linear Regions.html

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13. Error Functions-YfUUunxWIJw.en.vtt

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13. Error Functions-YfUUunxWIJw.mp4

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13. Error Functions-YfUUunxWIJw.pt-BR.vtt

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13. Error Functions.html

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14. Error Functions-jfKShxGAbok.en.vtt

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14. Error Functions-jfKShxGAbok.mp4

7.21 MB

14. Error Functions-jfKShxGAbok.pt-BR.vtt

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14. Error Functions-jfKShxGAbok.zh-CN.vtt

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14. Log-loss Error Function.html

9.84 KB

15. Discrete vs Continuous-rdP-RPDFkl0.en.vtt

0.54 KB

15. Discrete vs Continuous-rdP-RPDFkl0.mp4

2.26 MB

15. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt

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15. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt

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15. Discrete vs Continuous.html

10.52 KB

15. Discrete vs. Continuous-Rm2KxFaPiJg.en.vtt

5.70 KB

15. Discrete vs. Continuous-Rm2KxFaPiJg.mp4

5.35 MB

15. Discrete vs. Continuous-Rm2KxFaPiJg.pt-BR.vtt

5.67 KB

15. Discrete vs. Continuous-Rm2KxFaPiJg.zh-CN.vtt

4.67 KB

16. DL 18 Q Softmax V2-RC_A9Tu99y4.en.vtt

5.37 KB

16. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4

4.01 MB

16. DL 18 Q Softmax V2-RC_A9Tu99y4.pt-BR.vtt

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16. DL 18 Q Softmax V2-RC_A9Tu99y4.zh-CN.vtt

4.37 KB

16. DL 18 S Softmax-n8S-v_LCTms.en.vtt

2.59 KB

16. DL 18 S Softmax-n8S-v_LCTms.mp4

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16. DL 18 S Softmax-n8S-v_LCTms.pt-BR.vtt

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16. DL 18 S Softmax-n8S-v_LCTms.zh-CN.vtt

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16. Quiz - Softmax-NNoezNnAMTY.en.vtt

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16. Quiz - Softmax-NNoezNnAMTY.mp4

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16. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt

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16. Softmax.html

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17. One-Hot Encoding-AePvjhyvsBo.en.vtt

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17. One-Hot Encoding-AePvjhyvsBo.mp4

1.65 MB

17. One-Hot Encoding-AePvjhyvsBo.pt-BR.vtt

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17. One-Hot Encoding-AePvjhyvsBo.zh-CN.vtt

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17. One-Hot Encoding.html

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18. Maximum Likelihood 1-1yJx-QtlvNI.en.vtt

1.64 KB

18. Maximum Likelihood 1-1yJx-QtlvNI.mp4

5.75 MB

18. Maximum Likelihood 1-1yJx-QtlvNI.pt-BR.vtt

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18. Maximum Likelihood 2-6nUUeQ9AeUA.en.vtt

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18. Maximum Likelihood 2-6nUUeQ9AeUA.mp4

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18. Maximum Likelihood 2-6nUUeQ9AeUA.pt-BR.vtt

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18. Maximum Likelihood 2-6nUUeQ9AeUA.zh-CN.vtt

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18. Maximum Likelihood.html

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19. Maximizing Probabilities.html

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19. Quiz - Cross 1--xxrisIvD0E.en.vtt

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19. Quiz - Cross 1--xxrisIvD0E.mp4

3.02 MB

19. Quiz - Cross 1--xxrisIvD0E.pt-BR.vtt

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19. Quiz Cross Entropy-njq6bYrPqSU.en.vtt

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19. Quiz Cross Entropy-njq6bYrPqSU.mp4

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19. Quiz Cross Entropy-njq6bYrPqSU.pt-BR.vtt

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20. Cross Entropy 1-iREoPUrpXvE.en.vtt

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20. Cross Entropy 1-iREoPUrpXvE.mp4

4.22 MB

20. Cross Entropy 1-iREoPUrpXvE.pt-BR.vtt

5.00 KB

20. Cross Entropy 1-iREoPUrpXvE.zh-CN.vtt

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20. Cross-Entropy 1.html

8.63 KB

21. Cross-Entropy 2.html

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21. CrossEntropy V1-1BnhC6e0TFw.en.vtt

8.03 KB

21. CrossEntropy V1-1BnhC6e0TFw.mp4

6.61 MB

21. CrossEntropy V1-1BnhC6e0TFw.pt-BR.vtt

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21. CrossEntropy V1-1BnhC6e0TFw.zh-CN.vtt

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21. Formula For Cross 1-qvr_ego_d6w.en.vtt

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21. Formula For Cross 1-qvr_ego_d6w.mp4

2.08 MB

21. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt

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21. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt

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22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt

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22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4

4.14 MB

22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.pt-BR.vtt

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22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.zh-CN.vtt

4.01 KB

22. Multi-Class Cross Entropy.html

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23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt

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23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp4

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23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.pt-BR.vtt

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23. Error Function-V5kkHldUlVU.en.vtt

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23. Error Function-V5kkHldUlVU.mp4

4.84 MB

23. Error Function-V5kkHldUlVU.pt-BR.vtt

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23. Logistic Regression.html

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24. Gradient Descent-rhVIF-nigrY.en.vtt

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24. Gradient Descent-rhVIF-nigrY.mp4

3.76 MB

24. Gradient Descent-rhVIF-nigrY.pt-BR.vtt

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24. Gradient Descent.html

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25. Gradient Descent Algorithm-snxmBgi_GeU.en.vtt

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25. Gradient Descent Algorithm-snxmBgi_GeU.mp4

1.98 MB

25. Gradient Descent Algorithm-snxmBgi_GeU.pt-BR.vtt

2.64 KB

25. Gradient Descent Algorithm-snxmBgi_GeU.zh-CN.vtt

2.21 KB

25. Logistic Regression Algorithm.html

8.46 KB

26. Pre-Lab Gradient Descent.html

10.14 KB

27. Notebook Gradient Descent.html

8.82 KB

28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.en.vtt

4.27 KB

28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp4

3.20 MB

28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.pt-BR.vtt

4.24 KB

28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.zh-CN.vtt

3.60 KB

28. Perceptron vs Gradient Descent.html

8.77 KB

29. Continuous Perceptrons-07-JJ-aGEfM.en.vtt

1.33 KB

29. Continuous Perceptrons-07-JJ-aGEfM.mp4

1.13 MB

29. Continuous Perceptrons-07-JJ-aGEfM.pt-BR.vtt

1.31 KB

29. Continuous Perceptrons-07-JJ-aGEfM.zh-CN.vtt

1.15 KB

29. Continuous Perceptrons.html

8.43 KB

30. Non-Linear Data-F7ZiE8PQiSc.en.vtt

0.62 KB

30. Non-Linear Data-F7ZiE8PQiSc.mp4

2.14 MB

30. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt

0.59 KB

30. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt

0.61 KB

30. Non-linear Data.html

8.38 KB

31. Non-Linear Models-HWuBKCZsCo8.en.vtt

1.30 KB

31. Non-Linear Models-HWuBKCZsCo8.mp4

1.13 MB

31. Non-Linear Models-HWuBKCZsCo8.pt-BR.vtt

1.39 KB

31. Non-Linear Models-HWuBKCZsCo8.zh-CN.vtt

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31. Non-Linear Models.html

8.39 KB

32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt

3.02 KB

32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4

2.83 MB

32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt

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32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt

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32. Combinando modelos-Boy3zHVrWB4.en.vtt

5.29 KB

32. Combinando modelos-Boy3zHVrWB4.mp4

4.73 MB

32. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt

5.29 KB

32. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt

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32. Layers-pg99FkXYK0M.en.vtt

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32. Layers-pg99FkXYK0M.mp4

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32. Layers-pg99FkXYK0M.pt-BR.vtt

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32. Multiclass Classification-uNTtvxwfox0.en.vtt

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32. Multiclass Classification-uNTtvxwfox0.mp4

1.88 MB

32. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt

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32. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt

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32. Neural Network Architecture.html

12.92 KB

33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt

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33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4

5.33 MB

33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt

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33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt

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33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt

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33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4

1.72 MB

33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt

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33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt

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33. Feedforward.html

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34. Backpropagation V2-1SmY3TZTyUk.en.vtt

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34. Backpropagation V2-1SmY3TZTyUk.mp4

6.52 MB

34. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt

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34. Backpropagation.html

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34. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt

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34. Calculating The Gradient 1 -tVuZDbUrzzI.mp4

3.31 MB

34. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt

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34. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt

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34. Chain Rule-YAhIBOnbt54.en.vtt

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34. Chain Rule-YAhIBOnbt54.mp4

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34. Chain Rule-YAhIBOnbt54.pt-BR.vtt

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34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt

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34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4

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34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt

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35. Pre-Lab Analyzing Student Data.html

9.29 KB

36. Notebook Analyzing Student Data.html

8.83 KB

37. Outro.html

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index.html

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img

and-quiz.png

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and-to-or.png

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codecogseqn-43.gif

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codecogseqn-49.gif

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codecogseqn-58.gif

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codecogseqn-60-2.png

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meme.png

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or-quiz.png

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perceptronquiz.png

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points.png

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screen-shot-2018-03-19-at-3.49.28-pm.png

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xor-quiz.png

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xor.png

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Part 07-Module 01-Lesson 02_Implementing Gradient Descent

01. Mean Squared Error Function.html

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02. Gradient Descent-29PmNG7fuuM.en.vtt

1.60 KB

02. Gradient Descent-29PmNG7fuuM.mp4

2.46 MB

02. Gradient Descent-29PmNG7fuuM.pt-BR.vtt

1.52 KB

02. Gradient Descent-29PmNG7fuuM.zh-CN.vtt

1.41 KB

02. Gradient Descent.html

12.63 KB

03. Gradient Descent The Math.html

5.93 KB

03. Gradient Descent-Math-7sxA5Ap8AWM.en.vtt

10.81 KB

03. Gradient Descent-Math-7sxA5Ap8AWM.mp4

11.25 MB

03. Gradient Descent-Math-7sxA5Ap8AWM.pt-BR.vtt

10.84 KB

03. Gradient Descent-Math-7sxA5Ap8AWM.zh-CN.vtt

9.46 KB

04. Gradient Descent The Code.html

10.76 KB

05. Implementing Gradient Descent.html

26.66 KB

06. Multilayer perceptrons-Rs9petvTBLk.en-US.vtt

1.65 KB

06. Multilayer perceptrons-Rs9petvTBLk.mp4

2.85 MB

06. Multilayer perceptrons-Rs9petvTBLk.pt-BR.vtt

1.71 KB

06. Multilayer perceptrons-Rs9petvTBLk.zh-CN.vtt

1.39 KB

06. Multilayer Perceptrons.html

20.99 KB

07. Backpropagation-MZL97-2joxQ.en-US.vtt

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07. Backpropagation-MZL97-2joxQ.mp4

3.44 MB

07. Backpropagation-MZL97-2joxQ.pt-BR.vtt

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07. Backpropagation-MZL97-2joxQ.zh-CN.vtt

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07. Backpropagation.html

19.36 KB

08. Implementing Backpropagation.html

21.42 KB

09. Further Reading.html

5.76 KB

index.html

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img

admissions-data.png

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backprop-error.gif

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backprop-general.gif

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backprop-network.png

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backprop-weight-update.gif

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codecogseqn-2.png

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derivative-example.png

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example-data.png

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gradient-descent.png

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hidden-errors.gif

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input-times-weights.png

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inputs-matrix.png

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local-minima.png

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mat-headshot.png

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matrix-mult-3.png

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mse.png

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multilayer-diagram-weights.png

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network-with-labeled-nodes.png

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network-with-labeled-weights.png

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weight-label-reference.gif

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Part 07-Module 01-Lesson 03_Training Neural Networks

01. Instructor.html

6.18 KB

02. Training Optimization-UiGKhx9pUYc.en.vtt

0.80 KB

02. Training Optimization-UiGKhx9pUYc.mp4

2.96 MB

02. Training Optimization-UiGKhx9pUYc.pt-BR.vtt

0.85 KB

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02. Training Optimization.html

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03. Testing-EeBZpb-PSac.en.vtt

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03. Testing-EeBZpb-PSac.mp4

2.00 MB

03. Testing-EeBZpb-PSac.pt-BR.vtt

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03. Testing-EeBZpb-PSac.zh-CN.vtt

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03. Testing.html

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04. Overfitting and Underfitting.html

6.24 KB

04. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt

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04. Underfitting And Overfitting-xj4PlXMsN-Y.mp4

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04. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt

8.15 KB

04. Underfitting And Overfitting-xj4PlXMsN-Y.zh-CN.vtt

6.54 KB

05. Early Stopping.html

6.18 KB

05. Model Complexity Graph-NnS0FJyVcDQ.en.vtt

5.32 KB

05. Model Complexity Graph-NnS0FJyVcDQ.mp4

4.90 MB

05. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt

5.52 KB

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06. DL 53 Q Regularization-KxROxcRsHL8.en.vtt

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06. DL 53 Q Regularization-KxROxcRsHL8.mp4

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06. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt

1.16 KB

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06. Regularization.html

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07. Regularization 2.html

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07. Regularization-ndYnUrx8xvs.en.vtt

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07. Regularization-ndYnUrx8xvs.mp4

7.57 MB

07. Regularization-ndYnUrx8xvs.pt-BR.vtt

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08. Dropout-Ty6K6YiGdBs.en.vtt

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08. Dropout-Ty6K6YiGdBs.mp4

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08. Dropout-Ty6K6YiGdBs.pt-BR.vtt

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08. Dropout-Ty6K6YiGdBs.zh-CN.vtt

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08. Dropout.html

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09. Local Minima-gF_sW_nY-xw.en.vtt

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09. Local Minima-gF_sW_nY-xw.mp4

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09. Local Minima-gF_sW_nY-xw.pt-BR.vtt

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09. Local Minima-gF_sW_nY-xw.zh-CN.vtt

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09. Local Minima.html

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10. Random Restart-idyBBCzXiqg.en.vtt

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10. Random Restart-idyBBCzXiqg.mp4

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10. Random Restart-idyBBCzXiqg.pt-BR.vtt

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10. Random Restart-idyBBCzXiqg.zh-CN.vtt

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10. Random Restart.html

6.14 KB

11. Vanishing Gradient-W_JJm_5syFw.en.vtt

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11. Vanishing Gradient-W_JJm_5syFw.mp4

1.32 MB

11. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt

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11. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt

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11. Vanishing Gradient.html

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12. Other Activation Functions-kA-1vUt6cvQ.en.vtt

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12. Other Activation Functions-kA-1vUt6cvQ.mp4

2.30 MB

12. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt

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12. Other Activation Functions-kA-1vUt6cvQ.zh-CN.vtt

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12. Other Activation Functions.html

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13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt

4.64 KB

13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4

3.95 MB

13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt

4.63 KB

13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt

4.10 KB

13. Batch vs Stochastic Gradient Descent.html

6.29 KB

14. Learning Rate Decay.html

6.15 KB

14. Learning Rate-TwJ8aSZoh2U.en.vtt

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14. Learning Rate-TwJ8aSZoh2U.mp4

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14. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt

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14. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt

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15. Momentum-r-rYz_PEWC8.en.vtt

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15. Momentum-r-rYz_PEWC8.mp4

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15. Momentum-r-rYz_PEWC8.pt-BR.vtt

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15. Momentum-r-rYz_PEWC8.zh-CN.vtt

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15. Momentum.html

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16. Error Functions Around the World-34AAcTECu2A.en.vtt

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16. Error Functions Around the World-34AAcTECu2A.mp4

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16. Error Functions Around the World-34AAcTECu2A.pt-BR.vtt

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16. Error Functions Around the World.html

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index.html

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img

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screen-shot-2018-03-19-at-3.49.28-pm.png

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Part 07-Module 01-Lesson 04_Sentiment Analysis

01. Introducing Andrew Trask-ltO71Bm8b3M.en.vtt

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01. Introducing Andrew Trask-ltO71Bm8b3M.mp4

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01. Introducing Andrew Trask-ltO71Bm8b3M.pt-BR.vtt

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01. Introducing Andrew Trask-ltO71Bm8b3M.zh-CN.vtt

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01. Introducing Andrew Trask.html

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02. Andrew Trask - Intro-da1I0mea1jQ.en-US.vtt

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02. Andrew Trask - Intro-da1I0mea1jQ.mp4

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02. Andrew Trask - Intro-da1I0mea1jQ.pt-BR.vtt

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02. Andrew Trask - Intro-da1I0mea1jQ.zh-CN.vtt

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02. Meet Andrew.html

7.31 KB

03. Materials.html

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04. The Notebooks.html

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05. Framing the Problem-IsTOnkAKaJw.en.vtt

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05. Framing the Problem-IsTOnkAKaJw.mp4

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05. Framing the Problem-IsTOnkAKaJw.pt-BR.vtt

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05. Framing the Problem-IsTOnkAKaJw.zh-CN.vtt

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05. Framing the Problem.html

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06. Mini Project 1.html

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07. Mini Project 1 Solution-l4r5l0HvHRI.en.vtt

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07. Mini Project 1 Solution-l4r5l0HvHRI.mp4

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07. Mini Project 1 Solution-l4r5l0HvHRI.zh-CN.vtt

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07. Mini Project 1 Solution.html

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08. Transforming Text into Numbers-7rHBU5cbePE.en.vtt

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08. Transforming Text into Numbers-7rHBU5cbePE.mp4

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08. Transforming Text into Numbers-7rHBU5cbePE.pt-BR.vtt

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08. Transforming Text into Numbers.html

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09. Mini Project 2.html

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10. Mini Project 2 Solution-45ihpPaeO8E.en.vtt

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10. Mini Project 2 Solution-45ihpPaeO8E.mp4

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10. Mini Project 2 Solution.html

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11. Building a Neural Network-aM2k7RTjjJI.en.vtt

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11. Building a Neural Network-aM2k7RTjjJI.mp4

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11. Building a Neural Network-aM2k7RTjjJI.pt-BR.vtt

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11. Building a Neural Network-aM2k7RTjjJI.zh-CN.vtt

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11. Building a Neural Network.html

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12. Mini Project 3.html

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13. Mini Project 3 Solution-imnxzCev4SI.en.vtt

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13. Mini Project 3 Solution-imnxzCev4SI.mp4

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13. Mini Project 3 Solution-imnxzCev4SI.pt-BR.vtt

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13. Mini Project 3 Solution.html

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14. Understanding Neural Noise-ubqhh4Iv7O4.en.vtt

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14. Understanding Neural Noise-ubqhh4Iv7O4.mp4

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14. Understanding Neural Noise-ubqhh4Iv7O4.pt-BR.vtt

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14. Understanding Neural Noise-ubqhh4Iv7O4.zh-CN.vtt

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14. Understanding Neural Noise.html

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15. Mini Project 4.html

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16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.en.vtt

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16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4

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16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.pt-BR.vtt

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16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.zh-CN.vtt

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16. Understanding Inefficiencies in our Network.html

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17. Mini Project 5.html

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18. Mini Project 5 Solution-Hv86B_jjWTI.en.vtt

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18. Mini Project 5 Solution-Hv86B_jjWTI.mp4

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18. Mini Project 5 Solution-Hv86B_jjWTI.pt-BR.vtt

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18. Mini Project 5 Solution-Hv86B_jjWTI.zh-CN.vtt

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18. Mini Project 5 Solution.html

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19. Further Noise Reduction-Kl3hWxizKVg.en.vtt

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19. Further Noise Reduction-Kl3hWxizKVg.mp4

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19. Further Noise Reduction-Kl3hWxizKVg.pt-BR.vtt

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19. Further Noise Reduction-Kl3hWxizKVg.zh-CN.vtt

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19. Further Noise Reduction.html

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20. Mini Project 6.html

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21. Mini Project 6 Solution-ji0famK7gOQ.en.vtt

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21. Mini Project 6 Solution-ji0famK7gOQ.mp4

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21. Mini Project 6 Solution-ji0famK7gOQ.pt-BR.vtt

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21. Mini Project 6 Solution.html

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22. Analysis What's Going on in the Weights-UHsT35pbpcE.en.vtt

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22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4

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22. Analysis What's Going on in the Weights-UHsT35pbpcE.pt-BR.vtt

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22. Analysis What's Going on in the Weights-UHsT35pbpcE.zh-CN.vtt

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22. Analysis What's Going on in the Weights.html

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23. Andrew Trask - Outro-nIF0GLOQglQ.en-US.vtt

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23. Andrew Trask - Outro-nIF0GLOQglQ.mp4

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23. Andrew Trask - Outro-nIF0GLOQglQ.pt-BR.vtt

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23. Andrew Trask - Outro-nIF0GLOQglQ.zh-CN.vtt

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23. Conclusion.html

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index.html

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img

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Part 07-Module 01-Lesson 05_Keras

01. Intro.html

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02. Keras.html

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03. Pre-Lab Student Admissions in Keras.html

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04. Lab Student Admissions in Keras.html

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05. Optimizers in Keras.html

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06. Keras Lab-a50un22BsLI.en.vtt

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06. Keras Lab-a50un22BsLI.mp4

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06. Keras Lab-a50un22BsLI.pt-BR.vtt

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06. Keras Lab-a50un22BsLI.zh-CN.vtt

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06. Mini Project Intro.html

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07. Pre-Lab IMDB Data in Keras.html

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08. Lab IMDB Data in Keras.html

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index.html

4.02 KB

img

all-ranks.png

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data.png

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meme.png

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student-acceptance.png

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summary.png

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Part 07-Module 01-Lesson 06_TensorFlow

01. Intro.html

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02. Installing TensorFlow.html

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03. Hello, Tensor World!.html

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04. Quiz TensorFlow Linear Function.html

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05. Quiz TensorFlow Softmax.html

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06. Quiz TensorFlow Cross Entropy.html

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07. Quiz Mini-batch.html

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08. Epochs.html

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09. Pre-Lab NotMNIST in TensorFlow.html

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10. Lab NotMNIST in TensorFlow.html

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11. Two-layer Neural Network.html

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12. Quiz TensorFlow ReLUs.html

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13. Deep Neural Network in TensorFlow.html

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14. Save and Restore TensorFlow Models.html

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15. Finetuning.html

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16. Quiz TensorFlow Dropout.html

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17. Conclusion-wOiUQDgGD9E.en.vtt

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17. Conclusion-wOiUQDgGD9E.mp4

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17. Conclusion-wOiUQDgGD9E.pt-BR.vtt

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17. Conclusion-wOiUQDgGD9E.zh-CN.vtt

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17. Outro.html

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index.html

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img

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dropout-node.jpeg

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layers.png

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linear-equation.gif

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meme.png

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mnist-012.png

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multi-layer.png

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notmnist.png

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relu-network.png

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session.png

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Part 08-Module 01-Lesson 01_Cloud Computing

01. Overview.html

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02. Create an AWS Account.html

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03. Get Access to GPU Instances.html

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04. Apply Credits.html

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05. Launch an Instance.html

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06. Login to the Instance.html

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07. More Resources.html

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index.html

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img

amazonwebservices-logo.svg.png

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aws-add-sec-group.png

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aws-create-account.png

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edit-security-group.png

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launch-instance.png

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launch.png

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p2-limit-increase.png

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p2xlarge-limit-request.png

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review-and-launch.png

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screen-shot-2017-06-13-at-12.58.03-pm.png

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screen-shot-2017-11-26-at-9.38.24-am.png

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screen-shot-2017-11-26-at-9.55.20-am.png

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screen-shot-2018-01-08-at-5.37.22-am.png

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screen-shot-2018-01-08-at-5.38.03-am.png

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stop.png

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Part 08-Module 01-Lesson 02_CNNs in TensorFlow

01. Convolutional Layers.html

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02. Quiz Convolutional Layers.html

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03. Solution Convolutional Layers.html

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04. Max Pooling Layers.html

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05. Quiz Max Pooling Layers.html

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06. Solution Max Pooling Layers.html

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07. CNNs in TensorFlow.html

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08. CNNs - Additional Resources.html

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index.html

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img

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convolution-schematic.gif

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Part 08-Module 01-Lesson 03_Weight Initialization

01. Weight Initialization Intro.html

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02. Ones and Zeros.html

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02. Weight Initialization 1-6vXMYu_TQIA.en.vtt

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02. Weight Initialization 1-6vXMYu_TQIA.mp4

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03. Uniform Distribution.html

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04. Too Small.html

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04. Weight Initialization 3-JIQl0jMpdsI.en.vtt

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05. Normal Distribution.html

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06. Additional Material.html

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index.html

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img

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Part 08-Module 01-Lesson 04_Convolutional Neural Networks

01. Introducing Alexis-38ExGpdyvJI.en.vtt

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01. Introducing Alexis-38ExGpdyvJI.mp4

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01. Introducing Alexis-38ExGpdyvJI.pt-BR.vtt

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01. Introducing Alexis.html

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02. Applications of CNNs-HrYNL_1SV2Y.en.vtt

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02. Applications of CNNs-HrYNL_1SV2Y.mp4

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02. Applications of CNNs-HrYNL_1SV2Y.pt-BR.vtt

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02. Applications of CNNs-HrYNL_1SV2Y.zh-CN.vtt

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02. Applications of CNNs.html

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03. How Computers Interpret Images-V4f6p6uRhu8.en.vtt

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03. How Computers Interpret Images-V4f6p6uRhu8.mp4

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03. How Computers Interpret Images-V4f6p6uRhu8.pt-BR.vtt

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03. How Computers Interpret Images.html

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04. MLPs For Image Classification-TIFStebu530.en.vtt

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04. MLPs for Image Classification.html

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05. Categorical Cross-Entropy-3sDYifgjFck.en.vtt

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05. Categorical Cross-Entropy.html

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06. Model Validation in Keras-002jNXSM6CU.en.vtt

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06. Model Validation in Keras.html

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07. When do MLPs (not) work well .html

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08. Mini Project Training an MLP on MNIST.html

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09. Local Connectivity-z9wiDg0w-Dc.en.vtt

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09. Local Connectivity-z9wiDg0w-Dc.mp4

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09. Local Connectivity.html

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10. Convolutional Layers (Part 1).html

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10. Convolutional Layers-h5R_JvdUrUI.en.vtt

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10. Convolutional Layers-h5R_JvdUrUI.mp4

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10. Convolutional Layers-h5R_JvdUrUI.zh-CN.vtt

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11. Convolutional Layers (Part 2).html

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11. Convolutional Layers-RnM1D-XI--8.en.vtt

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11. Convolutional Layers-RnM1D-XI--8.mp4

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11. Convolutional Layers-RnM1D-XI--8.pt-BR.vtt

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12. Stride and Padding-0r9o8hprDXQ.en.vtt

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12. Stride and Padding-0r9o8hprDXQ.mp4

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12. Stride and Padding-0r9o8hprDXQ.zh-CN.vtt

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12. Stride and Padding.html

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13. Convolutional Layers in Keras.html

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14. Quiz Dimensionality.html

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15. Pooling Layers-OkkIZNs7Cyc.en.vtt

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15. Pooling Layers-OkkIZNs7Cyc.mp4

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15. Pooling Layers.html

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16. Max Pooling Layers in Keras.html

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17. CNNs For Image Classification-l9vg_1YUlzg.en.vtt

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17. CNNs For Image Classification-l9vg_1YUlzg.mp4

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17. CNNs For Image Classification-l9vg_1YUlzg.pt-BR.vtt

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17. CNNs For Image Classification-l9vg_1YUlzg.zh-CN.vtt

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17. CNNs for Image Classification.html

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18. CNNs in Keras Practical Example-faFvmGDwXX0.en.vtt

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18. CNNs in Keras Practical Example-faFvmGDwXX0.mp4

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18. CNNs in Keras Practical Example-faFvmGDwXX0.pt-BR.vtt

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18. CNNs in Keras Practical Example-faFvmGDwXX0.zh-CN.vtt

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18. CNNs in Keras Practical Example.html

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19. Mini Project CNNs in Keras.html

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20. Image Augmentation in Keras-odStujZq3GY.en.vtt

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20. Image Augmentation in Keras-odStujZq3GY.mp4

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20. Image Augmentation in Keras-odStujZq3GY.pt-BR.vtt

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20. Image Augmentation in Keras-odStujZq3GY.zh-CN.vtt

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20. Image Augmentation in Keras.html

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21. Mini Project Image Augmentation in Keras.html

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22. Groundbreaking CNN Architectures-ddrB-mhMfkY.en.vtt

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22. Groundbreaking CNN Architectures-ddrB-mhMfkY.mp4

8.09 MB

22. Groundbreaking CNN Architectures-ddrB-mhMfkY.pt-BR.vtt

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22. Groundbreaking CNN Architectures-ddrB-mhMfkY.zh-CN.vtt

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22. Groundbreaking CNN Architectures.html

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23. Visualizing CNNs (Part 1).html

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23. Visualizing CNNs-mnqS_EhEZVg.en.vtt

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23. Visualizing CNNs-mnqS_EhEZVg.mp4

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23. Visualizing CNNs-mnqS_EhEZVg.pt-BR.vtt

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23. Visualizing CNNs-mnqS_EhEZVg.zh-CN.vtt

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24. Visualizing CNNs (Part 2).html

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25. Transfer Learning-LHG5FltaR6I.en.vtt

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25. Transfer Learning-LHG5FltaR6I.mp4

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25. Transfer Learning-LHG5FltaR6I.pt-BR.vtt

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25. Transfer Learning-LHG5FltaR6I.zh-CN.vtt

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25. Transfer Learning.html

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26. Transfer Learning in Keras-HsIAznMM1LA.en.vtt

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26. Transfer Learning in Keras-HsIAznMM1LA.mp4

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26. Transfer Learning in Keras-HsIAznMM1LA.pt-BR.vtt

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26. Transfer Learning in Keras.html

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index.html

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img

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conv-dims.png

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convolution-schematic.gif

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maxpool.jpeg

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pooling-dims.png

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Part 08-Module 01-Lesson 05_Autoencoders

01. Autoencoder Lesson Intro.html

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02. Autoencoders-ar5Iyx68cWc.en.vtt

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02. Autoencoders-ar5Iyx68cWc.mp4

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02. Autoencoders-ar5Iyx68cWc.pt-BR.vtt

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02. Autoencoders-ar5Iyx68cWc.zh-CN.vtt

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02. Autoencoders.html

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03. A Simple Autoencoder.html

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03. A-Simple-Autoencoders 21718-lXGdkCT8E1c.en.vtt

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03. A-Simple-Autoencoders 21718-lXGdkCT8E1c.mp4

15.66 MB

04. Simple Autoencoder Solution-Nv_D6DHfEk8.en.vtt

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04. Simple Autoencoder Solution-Nv_D6DHfEk8.mp4

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04. Simple Autoencoder Solution-Nv_D6DHfEk8.pt-BR.vtt

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04. Simple Autoencoder Solution-Nv_D6DHfEk8.zh-CN.vtt

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04. Simple Autoencoder Solution.html

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05. Convolutional Autoencoders-18SZVRaumGs.en.vtt

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05. Convolutional Autoencoders-18SZVRaumGs.mp4

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05. Convolutional Autoencoders-18SZVRaumGs.pt-BR.vtt

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05. Convolutional Autoencoders-18SZVRaumGs.zh-CN.vtt

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05. Convolutional Autoencoders.html

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06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.en.vtt

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06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.mp4

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06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.pt-BR.vtt

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06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.zh-CN.vtt

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06. Convolutional Autoencoders Solution.html

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index.html

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img

autoencoder-1.png

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mat-headshot.png

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Part 08-Module 01-Lesson 06_Transfer Learning in TensorFlow

01. Transfer Learning Intro.html

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02. Transfer Learning with VGGNet.html

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02. Transfer Learning--WmQwYr0DYjY.en.vtt

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02. Transfer Learning--WmQwYr0DYjY.mp4

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02. Transfer Learning--WmQwYr0DYjY.pt-BR.vtt

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02. Transfer Learning--WmQwYr0DYjY.zh-CN.vtt

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03. Building VGGNet-615SslQiGvo.en.vtt

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03. Building VGGNet-615SslQiGvo.mp4

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03. Building VGGNet-615SslQiGvo.pt-BR.vtt

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03. Building VGGNet-615SslQiGvo.zh-CN.vtt

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03. VGGNet.html

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04. Pretrained VGGNet-BpzI6Svmuv8.en.vtt

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04. Pretrained VGGNet-BpzI6Svmuv8.mp4

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04. Pretrained VGGNet-BpzI6Svmuv8.pt-BR.vtt

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04. Pretrained VGGNet-BpzI6Svmuv8.zh-CN.vtt

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04. VGGNet Solution.html

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05. Data Preparation-WfsDMq-b3y4.en.vtt

7.04 KB

05. Data Preparation-WfsDMq-b3y4.mp4

9.23 MB

05. Data Preparation-WfsDMq-b3y4.pt-BR.vtt

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05. Data Preparation-WfsDMq-b3y4.zh-CN.vtt

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05. Data Preparation.html

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06. Data Preparation Solution.html

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06. Data Preparation-WEtKkHlhhZA.en.vtt

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06. Data Preparation-WEtKkHlhhZA.mp4

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06. Data Preparation-WEtKkHlhhZA.pt-BR.vtt

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06. Data Preparation-WEtKkHlhhZA.zh-CN.vtt

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07. Building The Classifier-pPHiVddBY0Q.en.vtt

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07. Building The Classifier-pPHiVddBY0Q.mp4

1.99 MB

07. Building The Classifier-pPHiVddBY0Q.pt-BR.vtt

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07. Building The Classifier-pPHiVddBY0Q.zh-CN.vtt

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07. Classifier.html

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08. Building The Classifier-6ifxRQ_gL7w.en.vtt

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08. Building The Classifier-6ifxRQ_gL7w.mp4

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08. Building The Classifier-6ifxRQ_gL7w.pt-BR.vtt

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08. Building The Classifier-6ifxRQ_gL7w.zh-CN.vtt

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08. Classifier Solution.html

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09. Training The Classifier-b7Fy3cIoJ1Y.en.vtt

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09. Training The Classifier-b7Fy3cIoJ1Y.mp4

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09. Training The Classifier-b7Fy3cIoJ1Y.pt-BR.vtt

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09. Training The Classifier-b7Fy3cIoJ1Y.zh-CN.vtt

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09. Training.html

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10. Training And Testing-NLPtmQjGYCA.en.vtt

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10. Training And Testing-NLPtmQjGYCA.mp4

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10. Training And Testing-NLPtmQjGYCA.pt-BR.vtt

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10. Training And Testing-NLPtmQjGYCA.zh-CN.vtt

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10. Training solution.html

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index.html

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img

mat-headshot.png

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Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun

01. Intro.html

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01. Introduction-ZCpXvVdIdnY.en.vtt

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01. Introduction-ZCpXvVdIdnY.mp4

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01. Introduction-ZCpXvVdIdnY.pt-BR.vtt

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01. Introduction-ZCpXvVdIdnY.zh-CN.vtt

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02. 02 Skin Cancer V4-70jGZeiTNgk.en.vtt

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02. 02 Skin Cancer V4-70jGZeiTNgk.mp4

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02. 02 Skin Cancer V4-70jGZeiTNgk.pt-BR.vtt

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02. 02 Skin Cancer V4-70jGZeiTNgk.zh-CN.vtt

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02. Skin Cancer.html

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03. Survival Probability of Skin Cancer.html

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03. Survival Rate-QPlp3NeGuSk.en.vtt

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03. Survival Rate-QPlp3NeGuSk.mp4

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03. Survival Rate-QPlp3NeGuSk.pt-BR.vtt

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03. Survival Rate-QPlp3NeGuSk.zh-CN.vtt

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04. Medical Classification-RCOSP60dV7U.en.vtt

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04. Medical Classification-RCOSP60dV7U.mp4

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04. Medical Classification-RCOSP60dV7U.pt-BR.vtt

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04. Medical Classification-RCOSP60dV7U.zh-CN.vtt

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04. Medical Classification.html

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05. The Data-2RLbbV7MQNA.en.vtt

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05. The Data-2RLbbV7MQNA.mp4

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05. The Data-2RLbbV7MQNA.pt-BR.vtt

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05. The Data-2RLbbV7MQNA.zh-CN.vtt

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05. The data.html

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06. 06 Image Challenge V3-Efnoj1KNPHw.en.vtt

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06. 06 Image Challenge V3-Efnoj1KNPHw.mp4

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06. 06 Image Challenge V3-Efnoj1KNPHw.pt-BR.vtt

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06. Image Challenges.html

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07. 07 Quiz Data Challenges V1-F8yc7BlV93c.en.vtt

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07. 07 Quiz Data Challenges V1-F8yc7BlV93c.mp4

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07. Quiz Data Challenges.html

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08. Solution Data Challenges-1z3o4niQuNg.en.vtt

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08. Solution Data Challenges-1z3o4niQuNg.mp4

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08. Solution Data Challenges.html

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09. Training the Neural Network.html

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09. Training The Neural Network-HwiI-UXUx-M.en.vtt

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09. Training The Neural Network-HwiI-UXUx-M.mp4

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09. Training The Neural Network-HwiI-UXUx-M.pt-BR.vtt

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10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.en.vtt

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10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.mp4

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10. Quiz Random vs Pre-initialized Weights.html

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11. Solution Random vs Pre-initialized Weight.html

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11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.en.vtt

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11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.mp4

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12. Validating The Training-Oxm9ofvov3I.en.vtt

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12. Validating The Training-Oxm9ofvov3I.pt-BR.vtt

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12. Validating the Training.html

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13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.en.vtt

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13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.mp4

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13. Quiz Sensitivity and Specificity.html

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14. Solution Sensitivity and Specificity.html

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14. Solution Sensitivty And Specificity-GBZjyeMjKxc.en.vtt

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14. Solution Sensitivty And Specificity-GBZjyeMjKxc.mp4

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14. Solution Sensitivty And Specificity-GBZjyeMjKxc.zh-CN.vtt

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15. More on Sensitivity and Specificity.html

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16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.en.vtt

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16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.mp4

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16. Quiz Diagnosing Cancer.html

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17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.en.vtt

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17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.mp4

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17. Solution Diagnosing Cancer.html

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18. Images-1GdiN5Wc8LA.mp4

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18. Refresh on ROC Curves.html

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18. ROC Curve-2Iw5TiGzJI4.en.vtt

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18. ROC Curve-2Iw5TiGzJI4.mp4

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18. ROC Curve-2Iw5TiGzJI4.pt-BR.vtt

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18. ROC Curve-2Iw5TiGzJI4.zh-CN.vtt

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19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.en.vtt

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19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.mp4

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19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.pt-BR.vtt

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19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.zh-CN.vtt

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19. Quiz ROC Curve.html

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20. Solution ROC Curve-sdUUf6RRmXI.en.vtt

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20. Solution ROC Curve-sdUUf6RRmXI.mp4

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20. Solution ROC Curve-sdUUf6RRmXI.pt-BR.vtt

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20. Solution ROC Curve.html

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21. Comparing our Results with Doctors.html

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21. ROC Curve-fWwe_JlpnlQ.en.vtt

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21. ROC Curve-fWwe_JlpnlQ.mp4

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21. ROC Curve-fWwe_JlpnlQ.pt-BR.vtt

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21. ROC Curve-fWwe_JlpnlQ.zh-CN.vtt

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22. Visualization-aGIGB4Ta3_A.en.vtt

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22. Visualization-aGIGB4Ta3_A.mp4

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22. Visualization-aGIGB4Ta3_A.pt-BR.vtt

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22. Visualization.html

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23. What is the network looking at.html

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23. What Is The Neural Network Looking At-qN-rvoxPbBw.en.vtt

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23. What Is The Neural Network Looking At-qN-rvoxPbBw.mp4

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23. What Is The Neural Network Looking At-qN-rvoxPbBw.pt-BR.vtt

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24. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt

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24. Confusion Matrix-Question 1-9GLNjmMUB_4.en.vtt

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24. Confusion Matrix-Question 1-9GLNjmMUB_4.mp4

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24. Confusion Matrix-Question 1-9GLNjmMUB_4.pt-BR.vtt

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24. Confusion Matrix-Question 1-9GLNjmMUB_4.zh-CN.vtt

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24. Refresh on Confusion Matrices.html

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25. Confusion Matrix-3rpN-YYlfes.en.vtt

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25. Confusion Matrix-3rpN-YYlfes.mp4

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25. Confusion Matrix-3rpN-YYlfes.pt-BR.vtt

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25. Confusion Matrix.html

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26. Conclusion-WhpE_8sTt-0.en.vtt

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26. Conclusion-WhpE_8sTt-0.mp4

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26. Conclusion-WhpE_8sTt-0.pt-BR.vtt

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26. Conclusion-WhpE_8sTt-0.zh-CN.vtt

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26. Conclusion.html

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27. Useful Resources.html

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28. Mini Project Introduction-Rgf3YVFWl-M.en.vtt

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28. Mini Project Introduction-Rgf3YVFWl-M.mp4

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28. Mini Project Introduction-Rgf3YVFWl-M.pt-BR.vtt

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28. Mini Project Introduction.html

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29. Mini Project Dermatologist AI.html

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index.html

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img

cat-1.jpeg

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cat-2.jpeg

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cat-3.png

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confusion-matrix.png

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lesions.png

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nature.png

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new-confusion-matrix.png

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precision-recall.png

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roc-curve.png

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roc-curves.png

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roc.png

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sample-confusion-matrix.png

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sample-roc-curve.png

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sensitivity-specificity.png

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skin-disease-classes.png

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threshold.png

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media

monkey-doctor.png

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Part 08-Module 02-Lesson 01_CNN Project Dog Breed Classifier

01. Project Description.html

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index.html

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Part 09-Module 01-Lesson 01_Recurrent Neural Networks

01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.en.vtt

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01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.mp4

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01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.zh-CN.vtt

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01. Introducing Ortal .html

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02. 01 RNN Intro V6 Final-AIQEqg6F38A.en.vtt

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02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4

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02. RNN Introduction.html

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03. 02 RNN History V4 Final-HbxAnYUfRnc.en.vtt

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03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4

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03. RNN History.html

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04. 03 RNN Applications V3 Final-6JbTNARuKII.en.vtt

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04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4

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04. RNN Applications.html

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05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.en.vtt

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05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4

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05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.en.vtt

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05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4

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05. Feedforward Neural Network-Reminder.html

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06. 06 FeedForward A V7 Final-4rCfnWbx8-0.en.vtt

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06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp4

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06. 07 FeedForward B V3-kTYbTVh1d0k.en.vtt

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06. 07 FeedForward B V3-kTYbTVh1d0k.mp4

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06. The Feedforward Process.html

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07. Feedforward Quiz.html

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08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.en.vtt

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08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4

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08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.en.vtt

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08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.mp4

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08. Backpropagation- Theory.html

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09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.en.vtt

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09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp4

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09. Backpropagation - Example (part a).html

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09. Regra da cadeia-YAhIBOnbt54.en.vtt

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09. Regra da cadeia-YAhIBOnbt54.mp4

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09. Regra da cadeia-YAhIBOnbt54.pt-BR.vtt

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09. Regra da cadeia-YAhIBOnbt54.zh-CN.vtt

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10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.en.vtt

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10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4

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10. Backpropagation- Example (part b).html

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11. Backpropagation Quiz.html

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12. RNN (part a).html

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12. 14 RNN A V4 Final-ofbnDxGSUcg.en.vtt

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12. 14 RNN A V4 Final-ofbnDxGSUcg.mp4

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12. 14 RNN A V4 Final-ofbnDxGSUcg.pt-BR.vtt

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13. 16 RNN B V4 Final-wsif3p5t7CI.en.vtt

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13. 16 RNN B V4 Final-wsif3p5t7CI.mp4

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13. RNN (part b).html

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14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.en.vtt

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14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.mp4

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14. RNN- Unfolded Model.html

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15. Unfolded Model Quiz.html

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16. 18 RNN Example V5 Final-MDLk3fhpTx0.en.vtt

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16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4

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16. 18 RNN Example V5 Final-MDLk3fhpTx0.zh-CN.vtt

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16. RNN- Example.html

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17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.en.vtt

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17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4

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17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.zh-CN.vtt

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17. Backpropagation Through Time (part a).html

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18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.en.vtt

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18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4

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18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.pt-BR.vtt

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18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.zh-CN.vtt

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18. Backpropagation Through Time (part b).html

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19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.en.vtt

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19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4

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19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.pt-BR.vtt

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19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.zh-CN.vtt

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19. Backpropagation Through Time (part c).html

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20. BPTT Quiz 1.html

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21. BPTT Quiz 2.html

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22. BPTT Quiz 3.html

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23. Some more math.html

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24. RNN Summary-nXP0oGGRrO8.en.vtt

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24. RNN Summary-nXP0oGGRrO8.mp4

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24. RNN Summary-nXP0oGGRrO8.pt-BR.vtt

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24. RNN Summary-nXP0oGGRrO8.zh-CN.vtt

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24. RNN Summary.html

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25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.en.vtt

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25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4

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25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.zh-CN.vtt

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25. From RNN to LSTM.html

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26. Wrap Up.html

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index.html

5.46 KB

img

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Part 09-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)

01. Intro to LSTM.html

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02. RNN Vs LSTM-70MgF-IwAr8.en.vtt

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02. RNN Vs LSTM-70MgF-IwAr8.mp4

3.58 MB

02. RNN Vs LSTM-70MgF-IwAr8.pt-BR.vtt

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02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt

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02. RNN vs LSTM.html

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03. Basics of LSTM.html

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03. LSTM Basics-gjb68a4XsqE.en.vtt

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03. LSTM Basics-gjb68a4XsqE.mp4

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03. LSTM Basics-gjb68a4XsqE.pt-BR.vtt

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03. LSTM Basics-gjb68a4XsqE.zh-CN.vtt

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04. Architecture of LSTM.html

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04. LSTM Architecture-ycwthhdx8ws.en.vtt

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04. LSTM Architecture-ycwthhdx8ws.mp4

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04. LSTM Architecture-ycwthhdx8ws.pt-BR.vtt

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04. LSTM Architecture-ycwthhdx8ws.zh-CN.vtt

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05. Learn Gate-aVHVI7ovbHY.en.vtt

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05. Learn Gate-aVHVI7ovbHY.mp4

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05. Learn Gate-aVHVI7ovbHY.pt-BR.vtt

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05. Learn Gate-aVHVI7ovbHY.zh-CN.vtt

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05. The Learn Gate.html

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06. Forget Gate-iWxpfxLUPSU.en.vtt

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06. Forget Gate-iWxpfxLUPSU.mp4

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06. Forget Gate-iWxpfxLUPSU.pt-BR.vtt

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06. The Forget Gate.html

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07. Remember Gate-0qlm86HaXuU.en.vtt

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07. Remember Gate-0qlm86HaXuU.mp4

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07. Remember Gate-0qlm86HaXuU.pt-BR.vtt

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07. The Remember Gate.html

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08. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt

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08. LSTM 7 Use Gate-5Ifolm1jTdY.mp4

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08. LSTM 7 Use Gate-5Ifolm1jTdY.zh-CN.vtt

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08. The Use Gate.html

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09. Putting It All Together-IF8FlKW-Zo0.en.vtt

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09. Putting It All Together-IF8FlKW-Zo0.mp4

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09. Putting It All Together-IF8FlKW-Zo0.zh-CN.vtt

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09. Putting it All Together.html

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10. Quiz.html

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11. Other Architectures-MsxFDuYlTuQ.en.vtt

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11. Other Architectures-MsxFDuYlTuQ.mp4

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11. Other Architectures-MsxFDuYlTuQ.pt-BR.vtt

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11. Other Architectures-MsxFDuYlTuQ.zh-CN.vtt

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11. Other architectures.html

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12. Outro LSTM.html

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index.html

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img

meme.png

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Part 09-Module 01-Lesson 03_Implementation of RNN and LSTM

01. Intro.html

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02. Character-Wise RNN-dXl3eWCGLdU.en.vtt

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02. Character-Wise RNN-dXl3eWCGLdU.mp4

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02. Character-Wise RNN-dXl3eWCGLdU.pt-BR.vtt

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02. Character-Wise RNN-dXl3eWCGLdU.zh-CN.vtt

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02. Character-wise RNNs.html

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03. Sequence Batching.html

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03. Sequence-Batching-Z4OiyU0Cldg.en.vtt

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03. Sequence-Batching-Z4OiyU0Cldg.mp4

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03. Sequence-Batching-Z4OiyU0Cldg.pt-BR.vtt

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03. Sequence-Batching-Z4OiyU0Cldg.zh-CN.vtt

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04. Character-wise RNN Notebook.html

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05. Implementing a Character-wise RNN-KPCMn_jg2oY.en.vtt

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05. Implementing a Character-wise RNN-KPCMn_jg2oY.mp4

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05. Implementing a Character-wise RNN-KPCMn_jg2oY.pt-BR.vtt

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05. Implementing a Character-wise RNN-KPCMn_jg2oY.zh-CN.vtt

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05. Implementing a Character-wise RNN.html

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06. Batching Data Solution-o3nBxHJLQcc.en.vtt

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06. Batching Data Solution-o3nBxHJLQcc.mp4

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06. Batching Data Solution-o3nBxHJLQcc.pt-BR.vtt

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06. Batching Data Solution-o3nBxHJLQcc.zh-CN.vtt

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06. Batching Data Solution.html

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07. LSTM Cell-ajC-5uWB8S4.en.vtt

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07. LSTM Cell-ajC-5uWB8S4.mp4

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07. LSTM Cell-ajC-5uWB8S4.pt-BR.vtt

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07. LSTM Cell-ajC-5uWB8S4.zh-CN.vtt

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07. LSTM Cell.html

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08. LSTM Cell Solution-X4uA0dq_4jA.en.vtt

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08. LSTM Cell Solution-X4uA0dq_4jA.mp4

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08. LSTM Cell Solution.html

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09. RNN Output-RkanDkcrTxs.en.vtt

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09. RNN Output-RkanDkcrTxs.mp4

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09. RNN Output-RkanDkcrTxs.pt-BR.vtt

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09. RNN Output.html

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10. Network Loss-itu-uNK4brc.en.vtt

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10. Network Loss-itu-uNK4brc.mp4

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10. Network Loss-itu-uNK4brc.pt-BR.vtt

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10. Network Loss.html

5.86 KB

11. Output And Loss Solutions-CT8hcU7FmGc.en.vtt

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11. Output And Loss Solutions-CT8hcU7FmGc.mp4

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11. Output and Loss Solutions.html

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12. Build The Network-RVNjDlWTBQU.en.vtt

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12. Build The Network-RVNjDlWTBQU.mp4

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12. Build the Network.html

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13. Build The Network And Results-hu8iMMqajmQ.en.vtt

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13. Build The Network And Results-hu8iMMqajmQ.mp4

13.27 MB

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7.64 KB

13. Build The Network And Results-hu8iMMqajmQ.zh-CN.vtt

6.85 KB

13. Build the Network Solution.html

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index.html

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img

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Part 09-Module 01-Lesson 04_Hyperparameters

01. Introducing Jay.html

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02. Introduction-erwnzFD7AeE.en.vtt

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02. Introduction-erwnzFD7AeE.mp4

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02. Introduction-erwnzFD7AeE.pt-BR.vtt

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02. Introduction-erwnzFD7AeE.zh-CN.vtt

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02. Introduction.html

5.56 KB

03. Learning Rate-HLMjeDez7ps.en.vtt

11.68 KB

03. Learning Rate-HLMjeDez7ps.mp4

9.62 MB

03. Learning Rate-HLMjeDez7ps.pt-BR.vtt

10.29 KB

03. Learning Rate-HLMjeDez7ps.zh-CN.vtt

10.11 KB

03. Learning Rate.html

6.12 KB

04. Learning Rate.html

7.34 KB

05. Minibatch Size-GrrO1NFxaW8.en.vtt

5.36 KB

05. Minibatch Size-GrrO1NFxaW8.mp4

4.78 MB

05. Minibatch Size-GrrO1NFxaW8.pt-BR.vtt

4.77 KB

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05. Minibatch Size.html

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06. Number Of Iterations-TTdHpSb4DV8.en.vtt

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06. Number Of Iterations-TTdHpSb4DV8.mp4

1.46 MB

06. Number Of Iterations-TTdHpSb4DV8.pt-BR.vtt

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06. Number of Training Iterations Epochs.html

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07. Number of Hidden Units Layers.html

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07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt

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07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp4

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07. Number Of Hidden Units Layers-IkGAIQH5wH8.pt-BR.vtt

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08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt

3.87 KB

08. RNN Hyperparameters-yQvnv7l_aUo.mp4

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08. RNN Hyperparameters.html

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09. RNN Hyperparameters.html

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10. Sources References.html

6.57 KB

index.html

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img

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Part 09-Module 01-Lesson 05_Embeddings and Word2vec

01. Embeddings Intro.html

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02. Implementing Word2Vec-7M431_f9HgE.en.vtt

16.86 KB

02. Implementing Word2Vec-7M431_f9HgE.mp4

23.33 MB

02. Implementing Word2Vec-7M431_f9HgE.pt-BR.vtt

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02. Implementing Word2Vec-7M431_f9HgE.zh-CN.vtt

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02. Implementing Word2Vec.html

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03. Subsampling Solution-MAUM_mV_lj8.en.vtt

5.99 KB

03. Subsampling Solution-MAUM_mV_lj8.mp4

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03. Subsampling Solution-MAUM_mV_lj8.pt-BR.vtt

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03. Subsampling Solution.html

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04. Making Batches-jx7qwdw-94k.en.vtt

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04. Making Batches-jx7qwdw-94k.mp4

7.73 MB

04. Making Batches-jx7qwdw-94k.pt-BR.vtt

4.51 KB

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3.77 KB

04. Making Batches.html

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05. Batches Solution-DdfR0RjSC-Q.en.vtt

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05. Batches Solution-DdfR0RjSC-Q.mp4

3.88 MB

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05. Batches Solution.html

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06. Building The Network-fhSb5c6UX6M.en.vtt

5.14 KB

06. Building The Network-fhSb5c6UX6M.mp4

8.09 MB

06. Building The Network-fhSb5c6UX6M.pt-BR.vtt

4.88 KB

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06. Building the Network.html

5.51 KB

07. Negative Sampling-gW17AHBKbHY.en.vtt

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07. Negative Sampling-gW17AHBKbHY.mp4

4.16 MB

07. Negative Sampling-gW17AHBKbHY.pt-BR.vtt

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07. Negative Sampling.html

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08. Building The Network Solution-pkBAhQ2Ki-8.en.vtt

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08. Building the Network Solution.html

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09. Training Results-uISA5ns47s8.en.vtt

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09. Training Results-uISA5ns47s8.mp4

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09. Training Results.html

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index.html

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Part 09-Module 01-Lesson 06_Sentiment Prediction RNN

01. Intro.html

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02. Sentiment Prediction-uGN3rZJRiMY.en.vtt

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02. Sentiment Prediction-uGN3rZJRiMY.mp4

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02. Sentiment Prediction-uGN3rZJRiMY.pt-BR.vtt

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02. Sentiment RNN.html

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03. Data Preprocessing-h4-LwZU9_k8.en.vtt

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03. Data Preprocessing-h4-LwZU9_k8.mp4

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03. Data Preprocessing.html

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04. Creating Testing Sets-BRBbrNLz1ho.en.vtt

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04. Creating Testing Sets-BRBbrNLz1ho.pt-BR.vtt

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04. Creating Testing Sets.html

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05. Building The RNN 1-XTD6slf64fM.en.vtt

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05. Building The RNN 1-XTD6slf64fM.mp4

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05. Building the RNN.html

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06. Training The Network-nknJ3Xu3ld0.en.vtt

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06. Training The Network-nknJ3Xu3ld0.mp4

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06. Training The Network-nknJ3Xu3ld0.pt-BR.vtt

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06. Training the Network.html

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07. Sentiment RNN 2-V9YGGjmoHS0.en.vtt

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07. Solutions.html

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Part 10-Module 01-Lesson 01_Generative Adversarial Networks

01. GANs Intro-F7XgI6TmaGI.en-US.vtt

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01. Introducing Ian Goodfellow.html

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02. Cool Things To Do With GANs-bo-ToTdhgew.en.vtt

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02. Cool Things To Do With GANs-bo-ToTdhgew.mp4

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02. Cool Things To Do With GANs-bo-ToTdhgew.pt-BR.vtt

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02. What can you do with GANs.html

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03. How GANs work.html

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03. Other Generative Models, How GANs Work-MF0QCP1OC9I.en.vtt

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03. Other Generative Models, How GANs Work-MF0QCP1OC9I.mp4

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03. Other Generative Models, How GANs Work-MF0QCP1OC9I.pt-BR.vtt

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04. Games and Equilibria.html

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04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.en.vtt

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04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.mp4

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05. GANs Architecture -gaEs7ccZv_Q.en.vtt

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05. Practical tips and tricks for training GANs.html

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06. Build a GAN.html

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07. Get started with a GAN.html

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07. Getting Started with GANs-QA2ntKUha4g.en.vtt

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08. Generator Network-btHVXnICmzQ.en.vtt

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08. Generator Network.html

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09. Discriminator Network-nWXxT8OqCfs.en.vtt

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09. Discriminator Network.html

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10. Generator and Discriminator Solutions-9By2pAck044.en.vtt

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10. Generator and Discriminator Solutions.html

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11. Building the Network-5sZkRSHfiAE.en.vtt

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11. Building the Network.html

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12. Building the Network Solution.html

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13. Training Losses-IaAeDrXMEcU.en.vtt

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13. Training Losses.html

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14. Training Optimizers-AU5gH7LS57E.en.vtt

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14. Training Optimizers-AU5gH7LS57E.mp4

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14. Training Optimizers-AU5gH7LS57E.pt-BR.vtt

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14. Training Optimizers.html

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15. Training Losses and Optimizers Solution.html

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15. Training Losses and Optimizers Solutions-HlABZ9Q7xEo.en.vtt

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15. Training Losses and Optimizers Solutions-HlABZ9Q7xEo.mp4

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16. A Trained GAN-TR-uEJcjig4.en.vtt

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16. A Trained GAN-TR-uEJcjig4.mp4

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16. A Trained GAN.html

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17. Doing More With Your GAN.html

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index.html

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Part 10-Module 01-Lesson 02_Deep Convolutional GANs

01. Deep Convolutional GANs.html

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02. DCGAN Architecture.html

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02. Deconvolution-sX_AxtB6CHI.en.vtt

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02. Deconvolution-sX_AxtB6CHI.mp4

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03. Batch Normalization.html

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04. DCGAN Implementation.html

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05. DCGAN And The Generator-CH6BxLTKt7s.en.vtt

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05. DCGAN And The Generator-CH6BxLTKt7s.mp4

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05. DCGAN and the Generator.html

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06. Generator Solution-jyPwUEZg05Q.en.vtt

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06. Generator Solution.html

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07. Discriminator-XRqOUbf96eI.en.vtt

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07. Discriminator.html

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08. Discriminator Solution-ffPWI2yJscw.en.vtt

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08. Discriminator Solution.html

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09. Building And Training The Network-nXKk9GI4X14.en.vtt

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09. Building and Training the Network.html

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10. Hyperparameter Solutions.html

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10. Hyperparameters Solution-Rt8MlVDtpi8.en.vtt

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10. Hyperparameters Solution-Rt8MlVDtpi8.mp4

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index.html

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Part 10-Module 01-Lesson 03_Semi-Supervised Learning

01. Semi-supervised Learning.html

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02. Semi-Supervised Classification with GANs.html

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02. Semi-Supervised Learning-_LRpHPxZaX0.en.vtt

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03. Introducing Semi-Supervised Learning-tnCClNy5z5c.en.vtt

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04. Data Prep-P5hOx09mwaM.en.vtt

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04. Data Prep.html

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05. Building The Generator And Discriminator-OWytckbbeGQ.en.vtt

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05. Building The Generator And Discriminator.html

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06. Model Loss Exercise-W7TawMNxBds.en.vtt

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06. Model Loss Exercise-W7TawMNxBds.mp4

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06. Model Loss Exercise.html

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07. Model Optimization Exercise-wNpI1wUA4Io.en.vtt

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08. Training The Network -P-LXQPVXl4A.en.vtt

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09. Discriminator Solution-_X8ssUzu_Bo.en.vtt

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10. Model Loss Solution-r3DtohmychE.en.vtt

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10. Model Loss Solution.html

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11. Model Optimizer Solution-_Qhz9SbR7xY.en.vtt

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12. Trained Semi-Supervised GAN-9yWYZDX8-O8.en.vtt

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index.html

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Part 11-Module 01-Lesson 01_Introduction to RL

01. Introduction-6jSFl5kxIBs.en.vtt

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01. Introduction-6jSFl5kxIBs.mp4

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01. Introduction.html

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02. Applications-CV6B84mKRNM.en.vtt

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02. Applications-CV6B84mKRNM.mp4

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02. Applications.html

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03. The Setting-nh8Gwdu19nc.en.vtt

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03. The Setting.html

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04. OpenAI Gym-MktEOWp3QLg.en.vtt

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04. OpenAI Gym-MktEOWp3QLg.pt-BR.vtt

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04. OpenAI Gym.html

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05. Resources-_YPqfAnCqtk.en.vtt

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05. Resources.html

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06. Reference Guide.html

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Part 11-Module 01-Lesson 02_The RL Framework The Problem

01. Introduction-X_9l_ZqXXBA.en.vtt

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01. Introduction.html

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02. The Setting, Revisited-V6Q1uF8a6kA.en.vtt

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03. Episodic vs. Continuing Tasks-E1I-BPanSM8.en.vtt

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04. Quiz Test Your Intuition.html

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06. The Reward Hypothesis-uAqNwgZ49JE.en.vtt

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07. Goals and Rewards, Part 1-XPnj3Ya3EuM.en.vtt

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08. Goals and Rewards, Part 2-pVIFc72VYH8.en.vtt

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09. Quiz Goals and Rewards.html

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10. Cumulative Reward-ysriH65lV9o.en.vtt

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11. Discounted Return-opXGNPwwn7g.en.vtt

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11. Discounted Return.html

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12. Quiz Pole-Balancing.html

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13. MDPs, Part 1-NBWbluSbxPg.en.vtt

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13. MDPs, Part 1-NBWbluSbxPg.mp4

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13. MDPs, Part 1.html

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14. MDPs, Part 2-CUTtQvxKkNw.en.vtt

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14. MDPs, Part 2-CUTtQvxKkNw.mp4

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14. MDPs, Part 2.html

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15. Quiz One-Step Dynamics, Part 1.html

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17. MDPs, Part 3-UlXHFbla3QI.en.vtt

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Part 11-Module 01-Lesson 03_The RL Framework The Solution

01. Introduction-9Wyf5Zsska8.en.vtt

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01. Introduction.html

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02. Policies-hc3LrvaC13U.en.vtt

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04. Gridworld Example-XeHBmPFqTsE.en.vtt

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05. State-Value Functions-llakAjwox_8.en.vtt

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Part 11-Module 01-Lesson 04_Dynamic Programming

01. Introduction-ek2PD9RDrWw.en.vtt

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01. Introduction.html

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02. OpenAI Gym FrozenLakeEnv.html

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03. Your Workspace.html

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04. Another Gridworld Example-n9SbomnLb-U.en.vtt

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05. An Iterative Method, Part 1.html

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06. An Iterative Method, Part 2.html

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07. Quiz An Iterative Method.html

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08. Iterative Policy Evaluation-eDXIL_oOJHI.en.vtt

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09. Implementation.html

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Part 11-Module 01-Lesson 05_Monte Carlo Methods

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01. Introduction.html

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02. OpenAI Gym BlackjackEnv.html

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03. MC Prediction State Values-0q2wSWyuBj8.en.vtt

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10. MC Control Incremental Mean-E2RITH-2NUE.en.vtt

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Part 11-Module 01-Lesson 06_Temporal-Difference Methods

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Part 11-Module 01-Lesson 07_Solve OpenAI Gym's Taxi-v2 Task

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Part 11-Module 01-Lesson 08_RL in Continuous Spaces

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14. Summary-MTEBk43oByU.en.vtt

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Part 11-Module 01-Lesson 09_Deep Q-Learning

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02. Neural Nets as Value Functions-cBi7vLrk8QQ.en.vtt

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03. Monte Carlo Learning-qOviWYwcvsg.en.vtt

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04. Temporal Difference Learning-lpmDi0QeUm8.en.vtt

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04. Temporal Difference Learning.html

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05. Q-Learning-AI5gLgYMSq8.en.vtt

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05. Q-Learning-AI5gLgYMSq8.mp4

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05. Q-Learning.html

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06. Deep Q Network-GgtR_d1OB-M.en.vtt

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06. Deep Q Network-GgtR_d1OB-M.mp4

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06. Deep Q Network-GgtR_d1OB-M.pt-BR.vtt

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06. Deep Q Network.html

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07. Experience Replay-wX_-SZG-YMQ.en.vtt

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07. Experience Replay-wX_-SZG-YMQ.mp4

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07. Experience Replay-wX_-SZG-YMQ.pt-BR.vtt

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07. Experience Replay-wX_-SZG-YMQ.zh-CN.vtt

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07. Experience Replay.html

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08. Fixed Q Targets-SWpyiEezfp4.en.vtt

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08. Fixed Q Targets-SWpyiEezfp4.mp4

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08. Fixed Q Targets-SWpyiEezfp4.pt-BR.vtt

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08. Fixed Q Targets.html

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09. Deep Q-Learning Algorithm-MqTXoCxQ_eY.en.vtt

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09. Deep Q-Learning Algorithm-MqTXoCxQ_eY.mp4

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09. Deep Q-Learning Algorithm-MqTXoCxQ_eY.pt-BR.vtt

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09. Deep Q-Learning Algorithm-MqTXoCxQ_eY.zh-CN.vtt

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09. Deep Q-Learning Algorithm.html

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10. DQN Improvements-Zfdbp93A2GU.en.vtt

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10. DQN Improvements-Zfdbp93A2GU.mp4

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10. DQN Improvements.html

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11. Implementing Deep Q-Learning.html

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12. TensorFlow Implementation.html

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13. Wrap Up-x6JggcDTcys.en.vtt

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13. Wrap Up-x6JggcDTcys.mp4

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13. Wrap Up.html

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index.html

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img

atari-network.png

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enable-gpu.png

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Part 11-Module 01-Lesson 10_Policy-Based Methods

01. M2L3 01 V1-YOSREyp04HA.en.vtt

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01. M2L3 01 V1-YOSREyp04HA.mp4

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01. Policy-Based Methods.html

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02. M2L3 02 V2-ToS8vXGdODE.en.vtt

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02. M2L3 02 V2-ToS8vXGdODE.mp4

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02. Why Policy-Based Methods.html

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03. M2L3 03 V2-TePX-0Bs23E.en.vtt

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03. M2L3 03 V2-TePX-0Bs23E.mp4

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03. Policy Function Approximation.html

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04. M2L3 04 V1-QicxmyE5vTo.en.vtt

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04. M2L3 04 V1-QicxmyE5vTo.mp4

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04. Stochastic Policy Search.html

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05. M2L3 05 V1-eZxxNNIZuwA.mp4

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05. Policy Gradients.html

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06. M2L3 06 V1-RMjdQkl6CqE.en.vtt

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06. M2L3 06 V1-RMjdQkl6CqE.mp4

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06. Monte Carlo Policy Gradients.html

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07. Constrained Policy Gradients.html

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07. M2L3 07 V2-ZBLLGIN1EfU.en.vtt

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07. M2L3 07 V2-ZBLLGIN1EfU.mp4

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08. M2L3 08 V1-og3W6CXn1F0.en.vtt

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08. M2L3 08 V1-og3W6CXn1F0.mp4

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08. Recap.html

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index.html

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Part 11-Module 01-Lesson 11_Actor-Critic Methods

01. Actor-Critic Methods.html

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01. RL M2L4 01 Actor Critic Methods RENDER V1 V1-FXhyxJzgt8U.en.vtt

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01. RL M2L4 01 Actor Critic Methods RENDER V1 V1-FXhyxJzgt8U.mp4

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02. A Better Score Function.html

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02. RL M2L4 02 A Better Score Function V2-_HBJ3l10-OE.en.vtt

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02. RL M2L4 02 A Better Score Function V2-_HBJ3l10-OE.mp4

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03. RL M2L4 03 Two Function Approximators V1-37KQEgLaLfw.en.vtt

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03. RL M2L4 03 Two Function Approximators V1-37KQEgLaLfw.mp4

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03. Two Function Approximators.html

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04. RL M2L4 04 The Actor And The Critic V1-bvbE9F7urd4.en.vtt

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04. RL M2L4 04 The Actor And The Critic V1-bvbE9F7urd4.mp4

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04. RL M2L4 04 The Actor And The Critic V1-bvbE9F7urd4.zh-CN.vtt

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04. The Actor and The Critic.html

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05. Advantage Function.html

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05. RL M2L4 05 Advantage Function RENDER V1 V2-vpLmzKqcgfc.en.vtt

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05. RL M2L4 05 Advantage Function RENDER V1 V2-vpLmzKqcgfc.mp4

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06. Actor-Critic with Advantage.html

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06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.mp4

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06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.pt-BR.vtt

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06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.zh-CN.vtt

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07. Summary-hvYQ_3LgCYs.en.vtt

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07. Summary-hvYQ_3LgCYs.mp4

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07. Summary-hvYQ_3LgCYs.pt-BR.vtt

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07. Summary-hvYQ_3LgCYs.zh-CN.vtt

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07. Summary.html

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index.html

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Part 11-Module 02-Lesson 01_Teach a Quadcopter How to Fly

01. Project Description.html

5.96 KB

index.html

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Visit Coursedrive.net.url

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Course Downloaded from coursedrive.net.txt

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