Udacity - Deep Reinforcement Learning Nanodegree Torrent Downloads

Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0

Part 02-Module 01-Lesson 02_Deep Q-Networks

03. Experience Replay-wX_-SZG-YMQ.mp4

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01. DQN Overview-WgiAvr7COR0.en.vtt

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01. DQN Overview-WgiAvr7COR0.mp4

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01. From RL to Deep RL-7HLJ0uaR1F0.en.vtt

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01. From RL to Deep RL-7HLJ0uaR1F0.mp4

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01. From RL to Deep RL.html

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02. Deep Q-Networks-GgtR_d1OB-M.en.vtt

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02. Deep Q-Networks-GgtR_d1OB-M.mp4

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02. Deep Q-Networks-GgtR_d1OB-M.pt-BR.vtt

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02. Deep Q-Networks-GgtR_d1OB-M.zh-CN.vtt

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02. Deep Q-Networks.html

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03. Experience Replay-wX_-SZG-YMQ.en.vtt

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03. Experience Replay-wX_-SZG-YMQ.pt-BR.vtt

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03. Experience Replay-wX_-SZG-YMQ.zh-CN.vtt

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03. Experience Replay.html

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04. Fixed Q-Targets-SWpyiEezfp4.en.vtt

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04. Fixed Q-Targets-SWpyiEezfp4.mp4

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04. Fixed Q-Targets-SWpyiEezfp4.pt-BR.vtt

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04. Fixed Q-Targets-SWpyiEezfp4.zh-CN.vtt

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04. Fixed Q-Targets.html

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05. Deep Q-Learning Algorithm-MqTXoCxQ_eY.en.vtt

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05. Deep Q-Learning Algorithm-MqTXoCxQ_eY.mp4

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05. Deep Q-Learning Algorithm-MqTXoCxQ_eY.pt-BR.vtt

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05. Deep Q-Learning Algorithm-MqTXoCxQ_eY.zh-CN.vtt

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05. Deep Q-Learning Algorithm.html

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06. Coding Exercise.html

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07. Workspace.html

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08. Deep Q-Learning Improvements.html

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09. 10 Double DQN V2-PGCEMLujiGI.en.vtt

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09. 10 Double DQN V2-PGCEMLujiGI.mp4

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09. Double DQN.html

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10. 10 Prioritized Experience Replay V1-cN8z-7Ze9L8.en.vtt

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10. 10 Prioritized Experience Replay V1-cN8z-7Ze9L8.mp4

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10. Prioritized Experience Replay.html

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11. 10 Dueling DQN V2-zZeHbPs39Ls.en.vtt

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11. 10 Dueling DQN V2-zZeHbPs39Ls.mp4

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11. Dueling DQN.html

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12. Rainbow.html

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13. Summary-x6JggcDTcys.en.vtt

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13. Summary-x6JggcDTcys.mp4

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13. Summary-x6JggcDTcys.pt-BR.vtt

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13. Summary-x6JggcDTcys.zh-CN.vtt

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13. Summary.html

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index.html

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img

dqn.png

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dueling-q-network.png

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jupyter.png

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sonic.gif

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index.html

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ReadMe.txt

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Visit Coursedrive.net.url

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assets

css

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js

bootstrap.min.js

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jquery-3.3.1.min.js

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katex.min.js

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

01. Welcome To DRLND-i1-l0n1ntes.en.vtt

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01. Welcome To DRLND-i1-l0n1ntes.mp4

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01. Welcome to the Deep Reinforcement Learning Nanodegree.html

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02. RL In The Real World-IGlAyGbOTHo.en.vtt

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02. RL In The Real World-IGlAyGbOTHo.mp4

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02. RL in the Real World.html

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03. Overview of the ND Program.html

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04. Projects You Will Build.html

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04. Unity Machine Learning Agents-jC12h4UAxqs.en.vtt

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04. Unity Machine Learning Agents-jC12h4UAxqs.mp4

16.50 MB

05. Play Tennis!.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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index.html

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img

banana.gif

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bipedal-walker.gif

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dumb-soccer.gif

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lunar-lander.gif

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output.gif

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reacher.gif

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soccer.gif

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Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors

01. What It Takes.html

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02. Reviews.html

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03. Knowledge.html

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04. Student Hub.html

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index.html

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Part 01-Module 01-Lesson 03_Get Help with Your Account

01. FAQ.html

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02. Support.html

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index.html

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img

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Part 01-Module 01-Lesson 04_Learning Plan

01. Learning Plan.html

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02. Reference Guide.html

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03. OpenAI Gym.html

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04. GitHub Repository.html

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05. AWS Credits.html

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06. Student Resources.html

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index.html

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img

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download.png

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grokking-deeprl.png

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image4.gif

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openaigym-gif.gif

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udacitylogo.jpg

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Part 01-Module 01-Lesson 05_Introduction to RL

01. Introduction-6jSFl5kxIBs.en.vtt

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01. Introduction-6jSFl5kxIBs.mp4

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01. Introduction-6jSFl5kxIBs.pt-BR.vtt

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01. Introduction-6jSFl5kxIBs.zh-CN.vtt

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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-CV6B84mKRNM.pt-BR.vtt

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02. Applications-CV6B84mKRNM.zh-CN.vtt

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02. Applications.html

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03. The Setting-nh8Gwdu19nc.en.vtt

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03. The Setting-nh8Gwdu19nc.mp4

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03. The Setting-nh8Gwdu19nc.pt-BR.vtt

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03. The Setting-nh8Gwdu19nc.zh-CN.vtt

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03. The Setting.html

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04. Resources-_YPqfAnCqtk.en.vtt

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04. Resources-_YPqfAnCqtk.mp4

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04. Resources-_YPqfAnCqtk.pt-BR.vtt

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04. Resources.html

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index.html

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Part 01-Module 01-Lesson 06_The RL Framework The Problem

01. Introduction-X_9l_ZqXXBA.en.vtt

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01. Introduction-X_9l_ZqXXBA.mp4

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01. Introduction-X_9l_ZqXXBA.pt-BR.vtt

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01. Introduction-X_9l_ZqXXBA.zh-CN.vtt

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01. Introduction.html

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02. The Setting, Revisited-V6Q1uF8a6kA.en.vtt

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02. The Setting, Revisited-V6Q1uF8a6kA.mp4

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02. The Setting, Revisited-V6Q1uF8a6kA.pt-BR.vtt

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02. The Setting, Revisited-V6Q1uF8a6kA.zh-CN.vtt

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02. The Setting, Revisited.html

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03. Episodic vs. Continuing Tasks-E1I-BPanSM8.en.vtt

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03. Episodic vs. Continuing Tasks-E1I-BPanSM8.mp4

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03. Episodic vs. Continuing Tasks-E1I-BPanSM8.zh-CN.vtt

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03. Episodic vs. Continuing Tasks.html

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04. Quiz Test Your Intuition.html

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05. Quiz Episodic or Continuing.html

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06. The Reward Hypothesis-uAqNwgZ49JE.en.vtt

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06. The Reward Hypothesis-uAqNwgZ49JE.mp4

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06. The Reward Hypothesis.html

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07. Goals and Rewards, Part 1-XPnj3Ya3EuM.en.vtt

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07. Goals and Rewards, Part 1-XPnj3Ya3EuM.mp4

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07. Goals and Rewards, Part 1.html

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08. Goals and Rewards, Part 2-pVIFc72VYH8.en.vtt

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08. Goals and Rewards, Part 2-pVIFc72VYH8.mp4

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08. Goals and Rewards, Part 2-pVIFc72VYH8.zh-CN.vtt

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08. Goals and Rewards, Part 2.html

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09. Quiz Goals and Rewards.html

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10. Cumulative Reward-ysriH65lV9o.en.vtt

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10. Cumulative Reward-ysriH65lV9o.mp4

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10. Cumulative Reward.html

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11. Discounted Return-opXGNPwwn7g.en.vtt

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11. Discounted Return-opXGNPwwn7g.mp4

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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-CUTtQvxKkNw.zh-CN.vtt

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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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16. Quiz One-Step Dynamics, Part 2.html

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17. MDPs, Part 3-UlXHFbla3QI.en.vtt

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17. MDPs, Part 3-UlXHFbla3QI.mp4

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17. MDPs, Part 3.html

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18. Finite MDPs.html

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19. Summary.html

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index.html

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Part 01-Module 01-Lesson 07_The RL Framework The Solution

01. Introduction-9Wyf5Zsska8.en.vtt

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01. Introduction-9Wyf5Zsska8.mp4

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01. Introduction.html

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02. Policies-hc3LrvaC13U.en.vtt

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02. Policies-hc3LrvaC13U.mp4

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02. Policies.html

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03. Quiz Interpret the Policy.html

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04. Gridworld Example-XeHBmPFqTsE.en.vtt

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04. Gridworld Example.html

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05. State-Value Functions-llakAjwox_8.en.vtt

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05. State-Value Functions.html

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06. Bellman Equations-UgIaDMvSdUo.en.vtt

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06. Bellman Equations.html

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07. Quiz State-Value Functions.html

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08. Optimality-j231aRV74QM.en.vtt

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08. Optimality.html

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09. Action-Value Functions-KJLaRfOOPGA.en.vtt

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09. Action-Value Functions.html

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10. Quiz Action-Value Functions.html

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11. Optimal Policies-2rguYpVyCto.en.vtt

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11. Optimal Policies.html

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12. Quiz Optimal Policies.html

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13. Summary.html

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index.html

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Part 01-Module 01-Lesson 08_Monte Carlo Methods

01. L601 Intro RENDER V2-3H5x0lstvmo.en.vtt

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01. L601 Intro RENDER V2-3H5x0lstvmo.mp4

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01. Review.html

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02. Gridworld Example.html

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02. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.en.vtt

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03. L603 Monte Carlo Methods RENDER V3-2-titaMCRl224.en.vtt

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03. L603 Monte Carlo Methods RENDER V3-2-titaMCRl224.mp4

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03. Monte Carlo Methods.html

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04. L604 MC Prediction Part 1RENDER V2-6ts9gdIS6vg.en.vtt

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04. L604 MC Prediction Part 1RENDER V2-6ts9gdIS6vg.mp4

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04. MC Prediction - Part 1.html

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05. L605 MC Prediction Part 2 RENDER V3-jR49ZyKuJ98.en.vtt

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05. L605 MC Prediction Part 2 RENDER V3-jR49ZyKuJ98.mp4

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05. MC Prediction - Part 2.html

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06. L606 MC Prediction Part 3 RENDERv1 V4-9LP6uXdmWxQ.en.vtt

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06. L606 MC Prediction Part 3 RENDERv1 V4-9LP6uXdmWxQ.mp4

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07. OpenAI Gym BlackJackEnv.html

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08. Workspace - Introduction.html

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09. MC Prediction - Solution Walkthrough-Pwiqk7Pncgc.en.vtt

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10. Workspace.html

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13. MC Control.html

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14. Exploration vs. Exploitation.html

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17. Coding Exercise.html

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17. M1 L6 S2 V1-6E_3NJcoxmU.en.vtt

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18. Workspace.html

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19. Summary.html

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Part 01-Module 01-Lesson 09_Temporal-Difference Methods

01. Introduction-yXErXQulI_o.en.vtt

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01. Introduction-yXErXQulI_o.mp4

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01. Introduction.html

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02. Review MC Control Methods.html

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03. Quiz MC Control Methods-ZwIg6LDMyuo.en.vtt

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03. Quiz MC Control Methods.html

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04. TD Control Sarsa Part 1-HYV0SP9wm7g.en.vtt

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04. TD Control Sarsa Part 1-HYV0SP9wm7g.mp4

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04. TD Control Sarsa Part 2-U_CV-UC9G2c.en.vtt

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04. TD Control Sarsa.html

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07. Quiz Q-Learning.html

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08. TD Control Expected Sarsa.html

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09. Quiz Expected Sarsa.html

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10. TD Control Theory and Practice.html

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11. OpenAI Gym CliffWalkingEnv.html

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12. Workspace - Introduction.html

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14. Workspace.html

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15. Analyzing Performance.html

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16. Quiz Check Your Understanding.html

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17. Summary.html

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Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task

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02. Instructions.html

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03. Mini Project.html

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Part 01-Module 01-Lesson 11_RL in Continuous Spaces

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02. Introduction-GPjK124RU5g.mp4

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02. Lesson Overview.html

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03. Discrete vs. Continuous Spaces-uHstLeRzaE8.en.vtt

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03. Discrete vs. Continuous Spaces-uHstLeRzaE8.mp4

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11. Coarse Coding-Uu1J5KLAfTU.en.vtt

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14. Kernel Functions-RdkPVYyVOvU.en.vtt

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16. Summary-MTEBk43oByU.en.vtt

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Part 01-Module 01-Lesson 12_What's Next

01. Arpan Rollercoaster-Rf6cCYRqV58.en.vtt

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01. Congratulations!.html

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Part 02-Module 01-Lesson 01_Study Plan

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02. Deep RL for Robotics.html

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02. Deep RL in Robotics-IjG_IWJdb1w.en.vtt

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Part 02-Module 01-Lesson 03_Deep RL for Robotics

01. 01 Introduction RENDER V2-dfeawuScC7k.en.vtt

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02. C++ for Robotics.html

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03. 03 CC API HSSC HS RENDER V3-a9-HdpCaYW4.en.vtt

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03. CC++ API.html

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04. Catch Sample.html

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05. Udacity Workspace.html

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06. Fruit Sample.html

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09. 09 Jetson TX2 Edits V1-M26z7vTti_g.en.vtt

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09. Jetson Overview-i56qM6NNW9A.en.vtt

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10. 10 Summary HS V3-cb1FGgZIitc.en.vtt

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10. Summary.html

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Part 02-Module 01-Lesson 04_Navigation

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04. Getting Started-ltz2GhFv04A.mp4

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index.html

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Project Description - Navigation.html

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Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning

01. Opportunities in DRL.html

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02. Meet the Careers Team.html

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03. Access Your Career Portal.html

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index.html

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Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile

01. Prove Your Skills With GitHub.html

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04. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt

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05. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt

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06. Identify fixes for example â€œbadâ€ profile-AF07y1oAim0.ar.vtt

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07. Quick Fixes #1.html

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15. Participating in open source projects 2-elZCLxVvJrY.mp4

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15. Participating in open source projects 2-elZCLxVvJrY.pt-BR.vtt

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15. Participating in open source projects 2.html

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16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt

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16. Starring interesting repositories-U3FUxkm1MxI.mp4

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16. Starring interesting repositories-ZwMY5rAAd7Q.mp4

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16. Starring interesting repositories-ZwMY5rAAd7Q.pt-BR.vtt

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16. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt

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16. Starring interesting repositories.html

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17. Next Steps.html

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index.html

5.24 KB

Project Description - Optimize Your GitHub Profile.html

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Project Rubric - Optimize Your GitHub Profile.html

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img

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Part 03-Module 01-Lesson 01_Study Plan

01. Study Plan.html

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index.html

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img

udacitylogo.jpg

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Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods

01. M3 L2 C01 V2-mMnhi8yzwKk.en.vtt

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01. M3 L2 C01 V2-mMnhi8yzwKk.mp4

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01. Policy-Based Methods.html

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02. M3 L2 C02 V1-v8tGjlc2aG4.en.vtt

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02. M3 L2 C02 V1-v8tGjlc2aG4.mp4

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02. Policy Function Approximation.html

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03. More on the Policy.html

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04. Hill Climbing.html

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04. M3 L2 C04 V3-5E86a0OyVyI.mp4

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05. Hill Climbing Pseudocode.html

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05. M3 L2 C05 V1-0XzzqIXyax0.en.vtt

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05. M3 L2 C05 V1-0XzzqIXyax0.mp4

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06. Beyond Hill Climbing.html

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06. M2L3 04 V1-QicxmyE5vTo.en.vtt

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06. M2L3 04 V1-QicxmyE5vTo.mp4

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06. M2L3 04 V1-QicxmyE5vTo.zh-CN.vtt

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07. M3 L2 C07 V3-2poDljPvY58.en.vtt

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07. M3 L2 C07 V3-2poDljPvY58.mp4

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07. More Black-Box Optimization.html

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08. Coding Exercise.html

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09. Workspace.html

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10. OpenAI Request for Research.html

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11. M2L3 02 V2-ToS8vXGdODE.en.vtt

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11. M2L3 02 V2-ToS8vXGdODE.mp4

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11. M2L3 02 V2-ToS8vXGdODE.zh-CN.vtt

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11. Why Policy-Based Methods.html

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12. Summary.html

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index.html

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img

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Part 03-Module 01-Lesson 03_Policy Gradient Methods

01. M3L3 C01 V3-ZEhQRASU5O4.en.vtt

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01. M3L3 C01 V3-ZEhQRASU5O4.mp4

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01. What are Policy Gradient Methods.html

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02. M3L3 C02 V6-zoOgRoaxGiU.en.vtt

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02. M3L3 C02 V6-zoOgRoaxGiU.mp4

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02. The Big Picture.html

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03. Connections to Supervised Learning.html

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03. M3L3 C03 V2-dJz_p4FKE-g.en.vtt

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03. M3L3 C03 V2-dJz_p4FKE-g.mp4

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04. M3L3 C04 V2-St9ftvMQ_ks.en.vtt

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04. M3L3 C04 V2-St9ftvMQ_ks.mp4

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04. Problem Setup.html

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05. M3L3 C05 V2-o6CI2q3IXEs.en.vtt

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05. M3L3 C05 V2-o6CI2q3IXEs.mp4

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05. REINFORCE.html

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06. (Optional) Derivation.html

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07. Coding Exercise.html

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08. Workspace.html

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09. What's Next.html

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10. Summary.html

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index.html

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img

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Part 03-Module 01-Lesson 04_Proximal Policy Optimization

01. Instructor Introduction-sokSgNtGj9Y.en.vtt

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01. Instructor Introduction-sokSgNtGj9Y.mp4

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01. Instructor Introduction.html

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02. Lesson Preview.html

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02. Training an agent to play atari-pong!-w27mvWFBnvQ.mp4

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03. Beyond REINFORCE.html

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04. Noise Reduction-GCGqT2knFJ0.en.vtt

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04. Noise Reduction.html

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05. Credit Assignment-tfZw1moB25Y.en.vtt

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05. Credit Assignment.html

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06. Policy Gradient Quiz.html

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07. pong with REINFORCE (code walkthrough).html

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07. pong with REINFORCE walkthrough-eKIjPrQWIgg.mp4

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08. pong with REINFORCE (workspace).html

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09. Importance Sampling-cYPvWriOPIk.en.vtt

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09. Importance Sampling-cYPvWriOPIk.mp4

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09. Importance Sampling.html

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10. PPO Part 1 The Surrogate Function-Y-boYZlpO7g.en.vtt

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10. PPO Part 1 The Surrogate Function-Y-boYZlpO7g.mp4

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10. PPO part 1- The Surrogate Function.html

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11. PPO Part 2 Clipping Policy Updates-NRzjGGX6c34.en.vtt

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11. PPO Part 2 Clipping Policy Updates-NRzjGGX6c34.mp4

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11. PPO part 2- Clipping Policy Updates.html

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12. PPO summary.html

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13. pong with PPO (code walkthrough).html

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13. Pong with PPO walkthrough-XhfhR7Z01S0.mp4

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14. pong with PPO (workspace).html

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index.html

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Part 03-Module 01-Lesson 05_Actor-Critic Methods

01. Introduction.html

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01. M3L501 Introduction HS 1 V1-_OHo1pEaJcQ.mp4

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02. M3 L5 02 Motivation V1-dpFPlDtdxyQ.mp4

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02. Motivation.html

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03. Bias and Variance.html

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03. M3 L5 03 Bias And Variance V2-_vnkkwm46uU.mp4

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04. M3 L5 04 Two Ways For Estimating Expected Returns V3-2W6yIBDvfsQ.mp4

5.84 MB

04. Two Ways for Estimating Expected Returns.html

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05. Baselines and Critics.html

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05. M3 L5 05 Baselines And Critics V1-wqmqoiUuQHI.mp4

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06. M3 L5 06 Policybased Valuebased And ActorCritic V1-iyin896PNEc.mp4

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06. Policy-based, Value-Based, and Actor-Critic.html

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07. A Basic Actor-Critic Agent.html

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07. M3 L5 07 A Basic ActorCritic Agent V2-KdHQ24hBKho.mp4

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08. A3C Asynchronous Advantage Actor-Critic, N-step.html

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08. M3 L5 08 A3C Asynchronous Advantage ActorCritic V2-twNXFplIAP8.mp4

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09. A3C Asynchronous Advantage Actor-Critic, Parallel Training.html

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09. M3 L5 09 A3C Asynchronous Advantage ActorCritic Parallel Training V2-kKRbAKhjACo.mp4

3.77 MB

10. A3C Asynchronous Advantage Actor-Critic, Off- vs On-policy.html

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10. M3 L5 10 A3C Asynchronous Advantage ActorCritic Offpolicy Vs Onpolicy V1-AZiy5R0DESU.mp4

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11. A2C Advantage Actor-Critic.html

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11. M3 L5 11 A2C Advantage ActorCritic V2-fIWe3xA97DA.mp4

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12. A2C Code Walk-through.html

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12. A2c Export V1-LiUBJje2N0c.mp4

38.55 MB

13. GAE Generalized Advantage Estimation.html

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13. M3 L5 13 GAE Generalized Advantage Estimation V2-oLFocWp0dt0.mp4

11.33 MB

14. DDPG Deep Deterministic Policy Gradient, Continuous Actions.html

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14. M3 L5 14 DDPG Deep Deterministic Policy Gradient Continuous Actionspace V1-0NVOPIyrr98.mp4

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15. DDPG Deep Deterministic Policy Gradient, Soft Updates.html

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15. M3 L5 15 DDPG Deep Deterministic Policy Gradient Soft Updates V1-RT-HDnAVe9o.mp4

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16. DDPG Code Walk-through.html

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16. DDPG Export V1-08V9r3NgFSE.mp4

30.37 MB

17. M3L517 Summary HS 1 V1-rRuiMhijw_s.mp4

8.09 MB

17. Summary.html

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index.html

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Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)

01. Introduction.html

5.83 KB

01. M3L601 Introduction HS V1-Nn1PblFSnP8.mp4

2.99 MB

02. High Frequency Trading.html

5.88 KB

02. M3L602 High Frequency Trading HFT RENDER V2-oM1zZdZ-8fE.mp4

9.60 MB

03. Challenges of Supervised Learning.html

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03. M3L603 Challenges Of Supervised Learning RENDER V1-_hAPnbDtteM.mp4

9.82 MB

04. Advantages of RL for Trading.html

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04. M3L04 Advantages Of Reinforcemnt Learning For Trading RENDER V1-rqHL4BZocI8.mp4

10.36 MB

05. M3L606 Optimization SC PT1 V1-6NiRtFyA2DU.mp4

1.83 MB

05. Optimal Liquidation Problem - Part 1 - Introduction.html

5.91 KB

06. M3L607 Optimization SC PT2 V1-JzL66ZbTC9U.mp4

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06. Optimal Liquidation Problem - Part 2 - Market Impact.html

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07. M3L608 Optimization SC PT3 V1-3pN77gMg788.mp4

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07. Optimal Liquidation Problem - Part 3 - Price Model.html

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08. M3L609 Optimization SC PT4 V2-N2LP-wg1jEI.mp4

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08. Optimal Liquidation Problem - Part 4 - Expected Shortfall.html

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09. Almgren and Chriss Model.html

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09. M3L610 Almgren And Chriss Model SC V1-rokcEQ4LXbU.mp4

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10. M3L611 Trading Lists SC V1-cGT-ADpHR74.mp4

9.04 MB

10. Trading Lists.html

6.79 KB

11. M3L612 The Efficient Frontier V1-EwM7Ksbs-ds.mp4

8.25 MB

11. The Efficient Frontier.html

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12. DRL for Optimal Execution of Portfolio Transactions.html

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index.html

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Part 03-Module 01-Lesson 07_Continuous Control

01. Unity ML-Agents.html

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02. The Environment - Introduction.html

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03. The Environment - Real World.html

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04. The Environment - Explore.html

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04. Untitled-i2gVvXgOMnc.mp4

2.16 MB

05. Project Instructions.html

8.06 KB

06. Benchmark Implementation.html

11.99 KB

07. Not sure where to start.html

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08. General Advice.html

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09. Collaborate!.html

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10. Workspace.html

6.38 KB

11. (Optional) Challenge Crawl.html

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index.html

4.50 KB

Project Description - Continuous Control.html

8.43 KB

Project Rubric - Continuous Control.html

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udacitylogo.jpg

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Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn

01. Get Opportunities with LinkedIn.html

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01. Why Network-exjEm9Paszk.ar.vtt

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01. Why Network-exjEm9Paszk.en.vtt

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01. Why Network-exjEm9Paszk.es-MX.vtt

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01. Why Network-exjEm9Paszk.mp4

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01. Why Network-exjEm9Paszk.pt-BR.vtt

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01. Why Network-exjEm9Paszk.zh-CN.vtt

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02. Meet Chris-0ccflD9x5WU.ar.vtt

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02. Meet Chris-0ccflD9x5WU.en.vtt

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02. Meet Chris-0ccflD9x5WU.es-MX.vtt

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02. Meet Chris-0ccflD9x5WU.mp4

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02. Meet Chris-0ccflD9x5WU.pt-BR.vtt

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02. Meet Chris-0ccflD9x5WU.zh-CN.vtt

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02. Use Your Story to Stand Out.html

7.91 KB

03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt

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03. Elevator Pitch-S-nAHPrkQrQ.en.vtt

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03. Elevator Pitch-S-nAHPrkQrQ.es-MX.vtt

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03. Elevator Pitch-S-nAHPrkQrQ.mp4

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03. Elevator Pitch-S-nAHPrkQrQ.pt-BR.vtt

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03. Elevator Pitch-S-nAHPrkQrQ.zh-CN.vtt

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03. Why Use an Elevator Pitch.html

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04. Create Your Elevator Pitch.html

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04. Elevator Pitch-0QtgTG49E9I.ar.vtt

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04. Elevator Pitch-0QtgTG49E9I.mp4

9.98 MB

04. Elevator Pitch-0QtgTG49E9I.pt-BR.vtt

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04. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt

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04. Pitching to a Recruiter-LxAdWaA-qTQ.en.vtt

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04. Pitching to a Recruiter-LxAdWaA-qTQ.es-MX.vtt

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04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4

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04. Pitching to a Recruiter-LxAdWaA-qTQ.pt-BR.vtt

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04. Pitching to a Recruiter-LxAdWaA-qTQ.zh-CN.vtt

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05. Use Your Elevator Pitch on LinkedIn.html

8.98 KB

06. Create Your Profile With SEO In Mind.html

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07. Profile Essentials.html

10.50 KB

08. Work Experiences Accomplishments.html

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09. Build and Strengthen Your Network.html

9.87 KB

10. Reaching Out on LinkedIn.html

8.61 KB

11. Boost Your Visibility.html

7.86 KB

12. Up Next.html

7.40 KB

index.html

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Project Description - Improve Your LinkedIn Profile.html

7.44 KB

Project Rubric - Improve Your LinkedIn Profile.html

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img

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redacted-linkedinresults.png

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1.67 MB

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Part 04-Module 01-Lesson 01_Study Plan

01. Study Plan.html

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index.html

3.45 KB

img

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Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL

01. Introducing Chhavi.html

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01. M4 L2 C01 Introducing Chhavi HS V1-imuw8tOMed4.en.vtt

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01. M4 L2 C01 Introducing Chhavi HS V1-imuw8tOMed4.mp4

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02. Introduction to Multi-Agent Systems.html

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02. M4 L2 C02 Introduction To Multi Agent Systems V1-ra-w63kzq6I.en.vtt

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02. M4 L2 C02 Introduction To Multi Agent Systems V1-ra-w63kzq6I.mp4

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03. M4 L2 C03 Motivation For Multi Agent Systems V1-i_s22qgQYL4.en.vtt

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03. M4 L2 C03 Motivation For Multi Agent Systems V1-i_s22qgQYL4.mp4

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03. Motivation for Multi-Agent Systems.html

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04. Applications of Multi-Agent Systems.html

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04. M4 L2 C04 Applications Of Multi Agent Systems V2-fw0G_gSDm6Q.en.vtt

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04. M4 L2 C04 Applications Of Multi Agent Systems V2-fw0G_gSDm6Q.mp4

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05. Benefits of Multi-Agent Systems.html

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05. M4 L2 C05 Benefits Of Multi Agent Systems V2-NXDv9cEZTaw.en.vtt

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05. M4 L2 C05 Benefits Of Multi Agent Systems V2-NXDv9cEZTaw.mp4

4.75 MB

06. M4 L2 C06 Markov Games 2 V1-Y9qq4Jqnwls.en.vtt

3.25 KB

06. M4 L2 C06 Markov Games 2 V1-Y9qq4Jqnwls.mp4

4.65 MB

06. Markov Games.html

6.00 KB

07. Markov Games.html

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08. Approaches to MARL.html

6.02 KB

08. M4 L2 C07 Approaches To MARL V1-uKV9AJykin0.en.vtt

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08. M4 L2 C07 Approaches To MARL V1-uKV9AJykin0.mp4

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09. Cooperation, Competition, Mixed Environments.html

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09. M4 L2 C08 Cooperation Competition Mixed Environments A V1-vx6PIH5_oFg.en.vtt

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09. M4 L2 C08 Cooperation Competition Mixed Environments A V1-vx6PIH5_oFg.mp4

5.87 MB

10. M4 L2 C09 Paper Description Part I HSAEG V1-nRKrQamUISs.en.vtt

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10. M4 L2 C09 Paper Description Part I HSAEG V1-nRKrQamUISs.mp4

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10. Research Topics.html

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11. M4 L2 C10a Paper Description Part II V1-Ks9-TeCg3Fs.en.vtt

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11. M4 L2 C10a Paper Description Part II V1-Ks9-TeCg3Fs.mp4

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11. Paper Description, Part 1.html

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12. M4 L2 C10b Paper Description Part II V2-4hFAhtLJR5U.en.vtt

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12. M4 L2 C10b Paper Description Part II V2-4hFAhtLJR5U.mp4

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12. Paper Description, Part 2.html

6.06 KB

13. M4 L2 C11 Summary HS V1-yGPHGYHqjq8.en.vtt

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13. M4 L2 C11 Summary HS V1-yGPHGYHqjq8.mp4

4.20 MB

13. Summary.html

5.97 KB

14. Lab Instructions.html

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15. MADDPG - Lab.html

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index.html

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Part 04-Module 01-Lesson 03_Case Study AlphaZero

01. Alpha Zero Preview-Zzc1XJ1aJ-4.en.vtt

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01. Alpha Zero Preview-Zzc1XJ1aJ-4.mp4

6.76 MB

01. AlphaZero Preview.html

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02. Zero-Sum Game-uPw1dHVqdXQ.en.vtt

4.95 KB

02. Zero-Sum Game-uPw1dHVqdXQ.mp4

4.86 MB

02. Zero-Sum Game.html

5.62 KB

03. Monte Carlo Tree Search 1 - Random Sampling-wn2B3j_Qz6E.en.vtt

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03. Monte Carlo Tree Search 1 - Random Sampling-wn2B3j_Qz6E.mp4

6.31 MB

03. Monte Carlo Tree Search 1 - Random Sampling.html

5.83 KB

04. Monte Carlo Tree Search 2 - Expansion and Back-propagation-H34Wtk1iNDY.en.vtt

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04. Monte Carlo Tree Search 2 - Expansion and Back-propagation-H34Wtk1iNDY.mp4

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04. Monte Carlo Tree Search 2 - Expansion and Back-propagation.html

5.93 KB

05. AlphaZero 1 Guided Tree Search-LinuRy47xbw.en.vtt

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05. AlphaZero 1 Guided Tree Search-LinuRy47xbw.mp4

8.02 MB

05. AlphaZero 1 Guided Tree Search.html

5.74 KB

06. Alpha Zero 2 Self-Play Training-wl1qfPXqRuQ.en.vtt

4.74 KB

06. Alpha Zero 2 Self-Play Training-wl1qfPXqRuQ.mp4

5.14 MB

06. AlphaZero 2 Self-Play Training.html

5.75 KB

07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.en.vtt

13.43 KB

07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.mp4

26.90 MB

07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.en.vtt

20.05 KB

07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.mp4

29.33 MB

07. TicTacToe using AlphaZero - walkthrough.html

6.36 KB

08. TicTacToe using AlphaZero - Workspace.html

6.20 KB

09. Advanced TicTacToe using AlphaZero.html

7.05 KB

09. Alphazero advanced tictactoe walkthrough-MOIk_BbCjRw.en.vtt

8.69 KB

09. Alphazero advanced tictactoe walkthrough-MOIk_BbCjRw.mp4

14.23 MB

index.html

4.36 KB

Part 04-Module 01-Lesson 04_Collaboration and Competition

01. Unity ML-Agents.html

7.16 KB

02. The Environment - Introduction.html

7.81 KB

03. The Environment - Explore.html

10.52 KB

03. Untitled-kxDvrkg8ep0.mp4

1.48 MB

04. Project Instructions.html

7.80 KB

05. Benchmark Implementation.html

7.66 KB

06. Collaborate!.html

8.09 KB

07. Workspace.html

6.13 KB

08. (Optional) Challenge Play Soccer.html

8.62 KB

index.html

4.33 KB

Project Description - Collaboration and Competition.html

7.49 KB

Project Rubric - Collaboration and Competition.html

9.29 KB

img

849-1234251683jkyt.jpg

161.07 KB

2018-02-27-16-05-37.gif

1.31 MB

screen-shot-2018-08-16-at-4.37.07-pm.png

301.62 KB

soccer.png

801.98 KB

tennis.png

120.36 KB

unity-wide.png

26.71 KB

we-can-do-it-poster-1393770492mjo.jpg

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Part 05-Module 01-Lesson 01_Dynamic Programming

01. Introduction-ek2PD9RDrWw.en.vtt

1.04 KB

01. Introduction-ek2PD9RDrWw.mp4

6.18 MB

01. Introduction-ek2PD9RDrWw.pt-BR.vtt

1.09 KB

01. Introduction-ek2PD9RDrWw.zh-CN.vtt

0.86 KB

01. Introduction.html

7.98 KB

02. OpenAI Gym FrozenLakeEnv.html

10.42 KB

03. Your Workspace.html

9.92 KB

04. Another Gridworld Example-n9SbomnLb-U.en.vtt

2.04 KB

04. Another Gridworld Example-n9SbomnLb-U.mp4

4.69 MB

04. Another Gridworld Example-n9SbomnLb-U.pt-BR.vtt

2.16 KB

04. Another Gridworld Example-n9SbomnLb-U.zh-CN.vtt

1.65 KB

04. Another Gridworld Example.html

7.91 KB

05. An Iterative Method, Part 1.html

7.40 KB

05. An Iterative Method-AX-hG3KvwzY.en.vtt

7.50 KB

05. An Iterative Method-AX-hG3KvwzY.mp4

27.57 MB

05. An Iterative Method-AX-hG3KvwzY.pt-BR.vtt

8.24 KB

05. An Iterative Method-AX-hG3KvwzY.zh-CN.vtt

6.27 KB

06. An Iterative Method, Part 2.html

13.32 KB

07. Quiz An Iterative Method.html

11.56 KB

08. Iterative Policy Evaluation-eDXIL_oOJHI.en.vtt

7.33 KB

08. Iterative Policy Evaluation-eDXIL_oOJHI.mp4

26.59 MB

08. Iterative Policy Evaluation-eDXIL_oOJHI.pt-BR.vtt

7.42 KB

08. Iterative Policy Evaluation-eDXIL_oOJHI.zh-CN.vtt

6.02 KB

08. Iterative Policy Evaluation.html

7.44 KB

09. Implementation.html

12.75 KB

10. Mini Project DP (Parts 0 and 1).html

7.81 KB

11. Action Values.html

12.16 KB

12. Implementation.html

9.10 KB

13. Mini Project DP (Part 2).html

7.79 KB

14. Policy Improvement-4_adUEK0IHg.en.vtt

8.10 KB

14. Policy Improvement-4_adUEK0IHg.mp4

30.38 MB

14. Policy Improvement-4_adUEK0IHg.pt-BR.vtt

8.94 KB

14. Policy Improvement-4_adUEK0IHg.zh-CN.vtt

6.90 KB

14. Policy Improvement.html

7.37 KB

15. Implementation.html

9.78 KB

16. Mini Project DP (Part 3).html

7.79 KB

17. Policy Iteration-gqv7o1kBDc0.en.vtt

2.08 KB

17. Policy Iteration-gqv7o1kBDc0.mp4

8.14 MB

17. Policy Iteration-gqv7o1kBDc0.pt-BR.vtt

2.37 KB

17. Policy Iteration-gqv7o1kBDc0.zh-CN.vtt

1.75 KB

17. Policy Iteration.html

7.36 KB

18. Implementation.html

8.26 KB

19. Mini Project DP (Part 4).html

7.79 KB

20. Truncated Policy Iteration-a-RvCxlPMho.en.vtt

3.39 KB

20. Truncated Policy Iteration-a-RvCxlPMho.mp4

14.13 MB

20. Truncated Policy Iteration-a-RvCxlPMho.pt-BR.vtt

3.74 KB

20. Truncated Policy Iteration-a-RvCxlPMho.zh-CN.vtt

2.90 KB

20. Truncated Policy Iteration.html

7.43 KB

21. Implementation.html

9.86 KB

22. Mini Project DP (Part 5).html

7.79 KB

23. Value Iteration-XNeQn8N36y8.en.vtt

4.18 KB

23. Value Iteration-XNeQn8N36y8.mp4

15.65 MB

23. Value Iteration-XNeQn8N36y8.pt-BR.vtt

4.47 KB

23. Value Iteration-XNeQn8N36y8.zh-CN.vtt

3.42 KB

23. Value Iteration.html

7.35 KB

24. Implementation.html

10.11 KB

25. Mini Project DP (Part 6).html

7.79 KB

26. Check Your Understanding.html

10.61 KB

27. Summary.html

13.88 KB

index.html

5.54 KB

img

actionvalue.png

628.42 KB

est-action.png

150.55 KB

frozen-lake-6.jpg

1.50 MB

improve.png

124.46 KB

iteration.png

241.36 KB

policy-eval.png

259.66 KB

screen-shot-2017-09-26-at-2.18.38-pm.png

405.83 KB

screen-shot-2017-09-26-at-4.22.09-pm.png

219.33 KB

screen-shot-2017-09-26-at-11.03.16-pm.png

259.66 KB

screen-shot-2017-10-02-at-10.41.44-am.png

12.87 KB

screen-shot-2017-12-17-at-9.41.03-am.png

158.23 KB

statevalue.png

0.98 MB

truncated-eval.png

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truncated-iter.png

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value-iteration.png

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Part 06-Module 01-Lesson 01_Neural Networks

01. Introducing Luis.html

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02. Why Neural Networks-zAkzOZntK6Y.en.vtt

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02. Why Neural Networks-zAkzOZntK6Y.mp4

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02. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt

1.27 KB

02. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt

1.18 KB

02. Why Neural Networks.html

6.48 KB

03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt

3.02 KB

03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4

2.83 MB

03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt

3.34 KB

03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt

2.76 KB

03. Combinando modelos-Boy3zHVrWB4.en.vtt

5.29 KB

03. Combinando modelos-Boy3zHVrWB4.mp4

4.73 MB

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

5.29 KB

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

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03. Layers-pg99FkXYK0M.en.vtt

3.40 KB

03. Layers-pg99FkXYK0M.mp4

3.11 MB

03. Layers-pg99FkXYK0M.pt-BR.vtt

3.29 KB

03. Layers-pg99FkXYK0M.zh-CN.vtt

3.04 KB

03. Multiclass Classification-uNTtvxwfox0.en.vtt

2.08 KB

03. Multiclass Classification-uNTtvxwfox0.mp4

1.88 MB

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

2.12 KB

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

1.82 KB

03. Neural Network Architecture.html

11.10 KB

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

6.17 KB

04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4

5.33 MB

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

6.76 KB

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

5.33 KB

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

1.97 KB

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

1.72 MB

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

2.12 KB

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

1.69 KB

04. Feedforward.html

7.73 KB

05. Backpropagation V2-1SmY3TZTyUk.en.vtt

7.21 KB

05. Backpropagation V2-1SmY3TZTyUk.mp4

6.52 MB

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

7.17 KB

05. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt

6.39 KB

05. Backpropagation.html

10.55 KB

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

3.41 KB

05. Calculating The Gradient 1 -tVuZDbUrzzI.mp4

3.31 MB

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

3.44 KB

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

2.88 KB

05. Chain Rule-YAhIBOnbt54.en.vtt

1.65 KB

05. Chain Rule-YAhIBOnbt54.mp4

1.46 MB

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

1.73 KB

05. Chain Rule-YAhIBOnbt54.zh-CN.vtt

1.42 KB

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

6.16 KB

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

5.69 MB

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

6.50 KB

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5.05 KB

06. Training Optimization-UiGKhx9pUYc.en.vtt

0.80 KB

06. Training Optimization-UiGKhx9pUYc.mp4

2.96 MB

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

0.85 KB

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0.82 KB

06. Training Optimization.html

6.48 KB

07. Testing-EeBZpb-PSac.en.vtt

2.41 KB

07. Testing-EeBZpb-PSac.mp4

2.00 MB

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

2.37 KB

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

1.99 KB

07. Testing.html

6.38 KB

08. Overfitting and Underfitting.html

6.53 KB

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

7.49 KB

08. Underfitting And Overfitting-xj4PlXMsN-Y.mp4

6.42 MB

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

8.15 KB

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

6.54 KB

09. Early Stopping.html

6.47 KB

09. Model Complexity Graph-NnS0FJyVcDQ.en.vtt

5.32 KB

09. Model Complexity Graph-NnS0FJyVcDQ.mp4

4.90 MB

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

5.52 KB

09. Model Complexity Graph-NnS0FJyVcDQ.zh-CN.vtt

4.65 KB

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

1.15 KB

10. DL 53 Q Regularization-KxROxcRsHL8.mp4

1.01 MB

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

1.16 KB

10. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt

1.02 KB

10. Regularization.html

7.50 KB

11. Regularization 2.html

6.43 KB

11. Regularization-ndYnUrx8xvs.en.vtt

8.07 KB

11. Regularization-ndYnUrx8xvs.mp4

7.57 MB

11. Regularization-ndYnUrx8xvs.pt-BR.vtt

8.78 KB

11. Regularization-ndYnUrx8xvs.zh-CN.vtt

6.96 KB

12. Dropout-Ty6K6YiGdBs.en.vtt

4.71 KB

12. Dropout-Ty6K6YiGdBs.mp4

4.22 MB

12. Dropout-Ty6K6YiGdBs.pt-BR.vtt

4.66 KB

12. Dropout-Ty6K6YiGdBs.zh-CN.vtt

4.06 KB

12. Dropout.html

6.38 KB

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

1.14 KB

13. Local Minima-gF_sW_nY-xw.mp4

819.86 KB

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

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

1.01 KB

13. Local Minima.html

6.42 KB

14. Vanishing Gradient-W_JJm_5syFw.en.vtt

1.46 KB

14. Vanishing Gradient-W_JJm_5syFw.mp4

1.32 MB

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

1.56 KB

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

1.24 KB

14. Vanishing Gradient.html

6.46 KB

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

2.68 KB

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

2.30 MB

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

2.55 KB

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

2.34 KB

15. Other Activation Functions.html

6.81 KB

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

4.64 KB

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

3.95 MB

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

4.63 KB

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

4.10 KB

16. Batch vs Stochastic Gradient Descent.html

6.58 KB

17. Learning Rate Decay.html

6.43 KB

17. Learning Rate-TwJ8aSZoh2U.en.vtt

1.12 KB

17. Learning Rate-TwJ8aSZoh2U.mp4

927.05 KB

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

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

1.00 KB

18. Random Restart-idyBBCzXiqg.en.vtt

0.46 KB

18. Random Restart-idyBBCzXiqg.mp4

394.99 KB

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

0.47 KB

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

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18. Random Restart.html

6.43 KB

19. Momentum-r-rYz_PEWC8.en.vtt

2.50 KB

19. Momentum-r-rYz_PEWC8.mp4

2.14 MB

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

2.70 KB

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

2.21 KB

19. Momentum.html

6.39 KB

index.html

4.81 KB

img

luis-circle.png

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regularization-quiz.png

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sigmoid-derivative.gif

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Part 06-Module 01-Lesson 02_Convolutional Neural Networks

01. Introducing Cezanne.html

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02. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.en.vtt

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02. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.mp4

5.03 MB

02. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.zh-CN.vtt

1.53 KB

02. Lesson Outline and Data.html

9.65 KB

03. CNN Architecture, VGG-16.html

10.47 KB

04. Convolutional Layers (Part 2)-LX-yVob3c28.en.vtt

9.92 KB

04. Convolutional Layers (Part 2)-LX-yVob3c28.mp4

19.85 MB

04. Convolutional Layers (Part 2)-LX-yVob3c28.zh-CN.vtt

8.59 KB

04. Convolutional Layers.html

7.59 KB

05. Defining Layers in PyTorch.html

10.79 KB

06. Notebook Visualizing a Convolutional Layer.html

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07. Pooling, VGG-16 Architecture.html

8.93 KB

08. Pooling Layers-OkkIZNs7Cyc.en.vtt

5.40 KB

08. Pooling Layers-OkkIZNs7Cyc.mp4

5.82 MB

08. Pooling Layers-OkkIZNs7Cyc.pt-BR.vtt

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08. Pooling Layers-OkkIZNs7Cyc.zh-CN.vtt

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08. Pooling Layers.html

7.90 KB

09. Notebook Visualizing a Pooling Layer.html

8.10 KB

10. Fully-Connected Layers, VGG-16.html

10.70 KB

11. Notebook Visualizing FashionMNIST.html

8.10 KB

12. Training in PyTorch.html

10.02 KB

13. Notebook Fashion MNIST Training Exercise.html

8.11 KB

14. Notebook FashionMNIST, Solution 1.html

8.10 KB

15. Dropout-Ty6K6YiGdBs.en.vtt

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15. Dropout-Ty6K6YiGdBs.mp4

4.22 MB

15. Dropout-Ty6K6YiGdBs.pt-BR.vtt

4.66 KB

15. Dropout-Ty6K6YiGdBs.zh-CN.vtt

4.06 KB

15. Review Dropout.html

10.36 KB

15. åŠ¨é‡-r-rYz_PEWC8.en.vtt

2.50 KB

15. åŠ¨é‡-r-rYz_PEWC8.mp4

2.14 MB

15. åŠ¨é‡-r-rYz_PEWC8.pt-BR.vtt

2.70 KB

15. åŠ¨é‡-r-rYz_PEWC8.zh-CN.vtt

2.21 KB

16. Notebook FashionMNIST, Solution 2.html

8.10 KB

17. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.en.vtt

2.91 KB

17. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.mp4

4.54 MB

17. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.zh-CN.vtt

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17. Feature Visualization.html

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18. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.en.vtt

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18. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.mp4

2.84 MB

18. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.zh-CN.vtt

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18. Feature Maps.html

7.56 KB

19. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.en.vtt

3.40 KB

19. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.mp4

9.51 MB

19. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.zh-CN.vtt

3.01 KB

19. First Convolutional Layer.html

7.66 KB

20. Visualizing CNNs (Part 2).html

14.47 KB

21. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.en.vtt

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21. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.mp4

3.35 MB

21. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.zh-CN.vtt

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21. Visualizing Activations.html

8.02 KB

22. Notebook Feature Viz for FashionMNIST.html

8.11 KB

23. Notebook Visualize Your Net Layers.html

8.10 KB

24. Last Feature Vector and t-SNE.html

14.88 KB

25. Occlusion, Saliency, and Guided Backpropagation.html

12.39 KB

26. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.en.vtt

1.80 KB

26. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.mp4

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26. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.zh-CN.vtt

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26. Summary of Feature Viz.html

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index.html

5.86 KB

img

alexis.jpg

313.46 KB

cezanne-circle.png

411.21 KB

diagonal-line-1.png

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diagonal-line-2.png

6.62 KB

embedding.gif

8.74 MB

grid-layer-1.png

35.30 KB

layer-1-grid.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-12.09.02-pm.png

3.09 MB

screen-shot-2016-11-24-at-12.09.24-pm.png

3.49 MB

screen-shot-2018-04-06-at-4.54.39-pm.png

494.36 KB

screen-shot-2018-04-23-at-8.35.17-pm.png

736.49 KB

screen-shot-2018-04-23-at-8.35.25-pm.png

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screen-shot-2018-04-24-at-4.49.51-pm.png

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screen-shot-2018-04-24-at-5.08.30-pm.png

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screen-shot-2018-04-24-at-5.08.36-pm.png

720.21 KB

screen-shot-2018-04-24-at-5.47.43-pm.png

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screen-shot-2018-04-24-at-12.35.07-pm.png

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screen-shot-2018-04-24-at-12.47.51-pm.png

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screen-shot-2018-04-24-at-12.58.16-pm.png

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t-sne-mnist.png

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vgg-16.png

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Part 06-Module 01-Lesson 03_Deep Learning with PyTorch

01. Introducing Mat.html

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02. Introducing PyTorch.html

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03. Part 1 V2-n4mbZYIfKb4.en.vtt

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03. Part 1 V2-n4mbZYIfKb4.mp4

13.81 MB

03. Part 1 V2-n4mbZYIfKb4.pt-BR.vtt

9.38 KB

03. Part 1 V2-n4mbZYIfKb4.zh-CN.vtt

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03. PyTorch Tensors.html

6.56 KB

04. Defining Networks.html

6.58 KB

04. Py Part 2 V1-u50_ZyKqt8g.en.vtt

22.87 KB

04. Py Part 2 V1-u50_ZyKqt8g.mp4

34.58 MB

04. Py Part 2 V1-u50_ZyKqt8g.pt-BR.vtt

22.06 KB

04. Py Part 2 V1-u50_ZyKqt8g.zh-CN.vtt

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05. Py Part 3 V2-u8hDj5aJK6I.en.vtt

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05. Py Part 3 V2-u8hDj5aJK6I.mp4

28.37 MB

05. Py Part 3 V2-u8hDj5aJK6I.pt-BR.vtt

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05. Py Part 3 V2-u8hDj5aJK6I.zh-CN.vtt

14.56 KB

05. Training Networks.html

6.58 KB

06. Fashion-MNIST Exercise.html

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06. PyTorch - Part 4-AEJV_RKZ7VU.en.vtt

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06. PyTorch - Part 4-AEJV_RKZ7VU.mp4

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06. PyTorch - Part 4-AEJV_RKZ7VU.pt-BR.vtt

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06. PyTorch - Part 4-AEJV_RKZ7VU.zh-CN.vtt

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07. Inference Validation.html

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07. Py Part 5 V2-coBbbrGZXI0.en.vtt

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07. Py Part 5 V2-coBbbrGZXI0.mp4

27.08 MB

07. Py Part 5 V2-coBbbrGZXI0.pt-BR.vtt

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07. Py Part 5 V2-coBbbrGZXI0.zh-CN.vtt

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08. Py Part 6 V1-HiTih59dCWQ.en.vtt

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08. Py Part 6 V1-HiTih59dCWQ.mp4

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08. Py Part 6 V1-HiTih59dCWQ.pt-BR.vtt

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08. Saving and Loading Trained Networks.html

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09. Loading Data Sets with Torchvision.html

6.63 KB

09. PyTorch - Part 7-hFu7GTfRWks.en.vtt

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09. PyTorch - Part 7-hFu7GTfRWks.mp4

14.62 MB

09. PyTorch - Part 7-hFu7GTfRWks.pt-BR.vtt

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09. PyTorch - Part 7-hFu7GTfRWks.zh-CN.vtt

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10. Py Part 8 V1-3eqn5sgCOsY.en.vtt

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10. Py Part 8 V1-3eqn5sgCOsY.mp4

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10. Py Part 8 V1-3eqn5sgCOsY.pt-BR.vtt

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10. Py Part 8 V1-3eqn5sgCOsY.zh-CN.vtt

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10. Transfer Learning.html

6.58 KB

index.html

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img

mat-leonard-circle.png

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Part 07-Module 01-Lesson 01_Cloud Computing

01. Overview.html

5.70 KB

02. Create an AWS Account.html

5.89 KB

03. Get Access to GPU Instances.html

8.57 KB

04. Apply Credits.html

6.66 KB

05. Launch an Instance.html

12.53 KB

06. Login to the Instance.html

6.91 KB

07. Test the Instance.html

7.12 KB

index.html

3.92 KB

img

aws-add-sec-group.png

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aws-create-account.png

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aws-inst-stats.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

129.66 KB

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-2017-11-26-at-10.30.15-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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ud272-l2-16-10-aws-account.png

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Part 07-Module 01-Lesson 02_Udacity Workspaces

01. Overview.html

5.28 KB

02. Introduction to Workspaces.html

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03. Workspaces Best Practices.html

9.16 KB

index.html

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img

jupyter-logo.png

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workspaces-jupyter.png

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workspaces-menu.png

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workspaces-new.png

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workspaces-notebook.png

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workspaces-submit.png

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Part 08-Module 01-Lesson 01_C++ Getting Started

01. Introduction-ahoiVrq4qAk.en.vtt

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01. Introduction-ahoiVrq4qAk.mp4

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01. Introduction-ahoiVrq4qAk.zh-CN.vtt

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01. Introduction.html

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02. Lesson Overview C++-lR3PH3bL-9U.en.vtt

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02. Lesson Overview C++-lR3PH3bL-9U.mp4

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02. Lesson Overview C++-lR3PH3bL-9U.zh-CN.vtt

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02. Lesson Overview.html

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02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.en.vtt

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02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp4

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02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.zh-CN.vtt

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03. Elecia White.html

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04. Why C++-_t4ZvwfnuCA.en.vtt

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04. Why C++-_t4ZvwfnuCA.mp4

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04. Why C++-_t4ZvwfnuCA.zh-CN.vtt

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04. Why C++.html

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05. Python and C++ Comparison.html

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06. Static Vs Dynamic Typing-D7v6iIAORkE.en.vtt

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06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4

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06. Static Vs Dynamic Typing-D7v6iIAORkE.zh-CN.vtt

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06. Static vs Dynamic Typing.html

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07. C++ - A Statically Typed Language.html

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08. Basic Data Types.html

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09. Floating versus Double [demonstration].html

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10. Doubles Are Bigger-uhwTWgmM2iY.en.vtt

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10. Doubles Are Bigger-uhwTWgmM2iY.mp4

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10. Doubles Are Bigger-uhwTWgmM2iY.zh-CN.vtt

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10. Doubles are Bigger.html

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11. Common Errors and Error Messages.html

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12. C++ Functions.html

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13. Anatomy of a Function.html

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14. Multiple Outputs.html

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15. Two Functions Same Name-0ZF649G58l4.en.vtt

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15. Two Functions Same Name-0ZF649G58l4.mp4

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15. Two Functions Same Name-0ZF649G58l4.zh-CN.vtt

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15. Two Functions Same Name-9SgmzOfBmRU.en.vtt

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15. Two Functions Same Name-9SgmzOfBmRU.mp4

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15. Two Functions Same Name-9SgmzOfBmRU.zh-CN.vtt

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15. Two Functions Same Name.html

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16. Function Signatures 1-T6kQ_4w98IQ.en.vtt

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16. Function Signatures 1-T6kQ_4w98IQ.mp4

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16. Function Signatures 1-T6kQ_4w98IQ.zh-CN.vtt

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16. Function Signatures 1.html

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17. Function Signatures 2-Sx4AWTmXl2U.zh-CN.vtt

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17. Function Signatures 2.html

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17. Function Signatures 3 V1-U3QAFb3AS1M.en.vtt

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17. Function Signatures 3 V1-U3QAFb3AS1M.mp4

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17. Function Signatures 3 V1-U3QAFb3AS1M.zh-CN.vtt

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18. If and Boolean Logic.html

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19. While and For Loops.html

12.13 KB

20. Switch Statement.html

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21. Libraries.html

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22. Forge on!.html

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22. Nd113 C Basics Last Video V1-dtu-RXovl0U.en.vtt

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22. Nd113 C Basics Last Video V1-dtu-RXovl0U.mp4

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22. Nd113 C Basics Last Video V1-dtu-RXovl0U.zh-CN.vtt

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index.html

5.11 KB

img

copy-of-template-1.png

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copy-of-template-2.png

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cover.jpg

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Part 08-Module 01-Lesson 02_C++ Vectors

01. C++ Vectors.html

9.84 KB

02. Namespaces.html

11.31 KB

03. Python Lists vs. C++ Vectors.html

6.48 KB

04. Initializing Vector Values.html

8.92 KB

05. Vector Methods.html

6.93 KB

06. Vectors and For Loops.html

11.48 KB

07. Math and Vectors.html

8.39 KB

08. 1D Vector Playground.html

11.01 KB

09. 2D Vectors.html

8.95 KB

10. 2D Vectors and For Loops.html

6.63 KB

11. 2D Vector Playground.html

8.88 KB

12. Next Lesson.html

5.70 KB

index.html

4.29 KB

img

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vectors.png

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Part 08-Module 01-Lesson 03_Practical C++

01. Introduction To Compilation-dyzGEB8YDGg.en.vtt

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01. Introduction To Compilation-dyzGEB8YDGg.mp4

7.96 MB

01. Introduction To Compilation-dyzGEB8YDGg.zh-CN.vtt

4.31 KB

01. Introduction to Compilation.html

7.55 KB

02. Running Code Locally.html

12.56 KB

03. C++ Versions.html

9.24 KB

04. Structuring Functions and File Organization.html

15.35 KB

05. Input and Output.html

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06. Reading in Text Files.html

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07. Outputting to Text Files.html

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08. Exercises.html

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index.html

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Part 08-Module 01-Lesson 04_C++ Object Oriented Programming

01. Introduction-4xHI5LFX-cQ.en.vtt

0.98 KB

01. Introduction-4xHI5LFX-cQ.mp4

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01. Introduction-4xHI5LFX-cQ.zh-CN.vtt

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01. Introduction.html

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02. Python vs. C++.html

13.87 KB

03. Why Use Object Oriented Programming-G2KzZfNu9Ak.en.vtt

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03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp4

10.64 MB

03. Why Use Object Oriented Programming-G2KzZfNu9Ak.zh-CN.vtt

1.95 KB

03. Why use Object Oriented Programming.html

6.70 KB

04. Using a Class in C++ [Demo].html

12.40 KB

05. Explanation of the Main.cpp File.html

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06. Practice Using a Class.html

13.52 KB

07. Review Anatomy of a Class.html

11.23 KB

08. Other Facets of C++ Classes.html

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09. Private and Public.html

14.60 KB

10. Header Files.html

12.69 KB

11. Inclusion Guards.html

22.82 KB

12. Implement a Class.html

6.95 KB

13. Class Variables.html

10.42 KB

14. Class Function Declarations.html

17.08 KB

15. Constructor Functions.html

15.77 KB

16. Set and Get Functions.html

13.46 KB

17. Matrix Functions.html

17.25 KB

18. Use an Inclusion Guard.html

12.25 KB

19. Instantiate an Object.html

16.12 KB

20. Running your Program Locally.html

7.10 KB

index.html

5.07 KB

Part 08-Module 02-Lesson 01_C++ Intro to Optimization

01. Course Introduction-Lwc5oYApdUM.en.vtt

1.23 KB

01. Course Introduction-Lwc5oYApdUM.mp4

3.25 MB

01. Course Introduction-Lwc5oYApdUM.zh-CN.vtt

1.16 KB

01. Course Introduction.html

5.66 KB

02. C Opt 01 L V2-Kdx1_BI5ddc.en.vtt

3.34 KB

02. C Opt 01 L V2-Kdx1_BI5ddc.mp4

7.76 MB

02. C Opt 01 L V2-Kdx1_BI5ddc.zh-CN.vtt

2.98 KB

02. Empathize with the Computer.html

5.66 KB

03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.en.vtt

5.51 KB

03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.mp4

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03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.zh-CN.vtt

4.73 KB

03. Intro to Computer Hardware.html

10.22 KB

04. Embedded Terminal Explanation.html

13.47 KB

04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.en.vtt

10.36 KB

04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4

26.50 MB

04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.zh-CN.vtt

9.21 KB

05. Demo Machine Code.html

6.18 KB

06. Assembly Language.html

7.00 KB

07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.en.vtt

6.37 KB

07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.mp4

5.37 MB

07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.zh-CN.vtt

5.75 KB

07. Binary.html

11.64 KB

08. Demo Binary.html

6.17 KB

09. Demo Binary Floats.html

6.18 KB

10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.en.vtt

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10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.mp4

3.58 MB

10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.zh-CN.vtt

3.56 KB

10. Memory and the CPU.html

14.25 KB

11. Demo Stack vs Heap.html

6.18 KB

12. C Opt 05 L V3-rTtZVyWxYG8.en.vtt

2.34 KB

12. C Opt 05 L V3-rTtZVyWxYG8.mp4

4.47 MB

12. C Opt 05 L V3-rTtZVyWxYG8.zh-CN.vtt

2.13 KB

12. Outro.html

5.62 KB

index.html

4.32 KB

img

cli.jpg

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emptyterminal.jpg

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files.jpg

36.25 KB

menu.jpg

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menuopen.jpg

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texteditor.jpg

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untitled-drawing.jpg

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Part 08-Module 02-Lesson 02_C++ Optimization Practice

01. Introduction.html

10.53 KB

02. Software Development and Optimization.html

12.59 KB

03. Optimization Techniques.html

12.95 KB

04. Dead Code.html

10.58 KB

05. Exercise Remove Dead Code.html

6.98 KB

06. If Statements.html

9.38 KB

07. Exercise If Statements.html

6.97 KB

08. For Loops.html

7.84 KB

09. Exercise For Loops.html

6.96 KB

10. Intermediate Variables.html

8.32 KB

11. Exercise Intermediate Variables.html

6.99 KB

12. Vector Storage.html

8.44 KB

13. Exercise Vector Storage.html

6.97 KB

14. References.html

9.98 KB

15. Exercise References.html

6.96 KB

16. Nd113 Story 1 V1-lIe2zso8A-w.en.vtt

3.81 KB

16. Nd113 Story 1 V1-lIe2zso8A-w.mp4

12.76 MB

16. Nd113 Story 1 V1-lIe2zso8A-w.zh-CN.vtt

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16. Sebastian's Synchronization Story.html

6.46 KB

17. Static Keyword.html

9.33 KB

18. Exercise Static Keyword.html

6.97 KB

19. Nd113 C L2 01 V1-h_P7ceb5ido.en.vtt

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19. Nd113 C L2 01 V1-h_P7ceb5ido.mp4

2.31 MB

19. Nd113 C L2 01 V1-h_P7ceb5ido.zh-CN.vtt

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19. Speed Challenge.html

6.62 KB

index.html

4.92 KB

Visit Coursedrive.net.url

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Course Downloaded from coursedrive.net.txt

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