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[FreeAllCourse Com] Udemy - Deep Learning A-Zâ„¢ Hands-On Artificial Neural Networks
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Name:[FreeAllCourse Com] Udemy - Deep Learning A-Zâ„¢ Hands-On Artificial Neural Networks
Infohash: 8B335E526D48A890F2C17A9F0A9017BCC88C3B20
Total Size: 3.35 GB
Magnet: Magnet Download
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Last Updated: 2026-01-21 10:14:33 (Update Now)
Torrent added: 2020-02-07 16:02:02
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Torrent Files List
1. Welcome to the course (Size: 3.35 GB) (Files: 348)
1. Welcome to the course
1. Updates on Udemy Reviews.mp4
1. Updates on Udemy Reviews.srt
2. What is Deep Learning.mp4
2. What is Deep Learning.srt
3. BONUS Learning Paths.html
4. Installing Python.mp4
4. Installing Python.srt
5. How to get the dataset.mp4
5. How to get the dataset.srt
6. Colab File.html
6.1 DL-A-Z-Colab-Run-Instructions.ipynb.zip.zip
6.2 DL Colab Changes.zip.zip
7. BONUS Meet Your Instructors.html
8. Some Additional Resources!!.html
9. FAQBot!.html
10. Building a CNN
1. How to get the dataset.mp4
1. How to get the dataset.srt
10. Building a CNN - Step 7.mp4
10. Building a CNN - Step 7.srt
11. Building a CNN - Step 8.mp4
11. Building a CNN - Step 8.srt
12. Building a CNN - Step 9.mp4
12. Building a CNN - Step 9.srt
13. Building a CNN - Step 10.mp4
13. Building a CNN - Step 10.srt
2. Installing Keras.html
3. Introduction to CNNs.mp4
3. Introduction to CNNs.srt
4. Building a CNN - Step 1.mp4
4. Building a CNN - Step 1.srt
5. Building a CNN - Step 2.mp4
5. Building a CNN - Step 2.srt
6. Building a CNN - Step 3.mp4
6. Building a CNN - Step 3.srt
7. Building a CNN - Step 4.mp4
7. Building a CNN - Step 4.srt
8. Building a CNN - Step 5.mp4
8. Building a CNN - Step 5.srt
9. Building a CNN - Step 6.mp4
9. Building a CNN - Step 6.srt
11. Homework - What's that pet
1. Homework Instruction.html
2. Homework Solution.mp4
2. Homework Solution.srt
12. Evaluating, Improving and Tuning the CNN
1. Homework Challenge - Get the gold medal.html
2. Homework Challenge Solution - Get the gold medal.html
13. ---------------------- Part 3 - Recurrent Neural Networks ----------------------
1. Welcome to Part 3 - Recurrent Neural Networks.html
14. RNN Intuition
1. What You'll Need for RNN.html
2. Plan of attack.mp4
2. Plan of attack.srt
3. The idea behind Recurrent Neural Networks.mp4
3. The idea behind Recurrent Neural Networks.srt
4. The Vanishing Gradient Problem.mp4
4. The Vanishing Gradient Problem.srt
5. LSTMs.mp4
5. LSTMs.srt
6. Practical intuition.mp4
6. Practical intuition.srt
7. EXTRA LSTM Variations.mp4
7. EXTRA LSTM Variations.srt
15. Building a RNN
1. How to get the dataset.mp4
1. How to get the dataset.srt
10. Building a RNN - Step 8.mp4
10. Building a RNN - Step 8.srt
11. Building a RNN - Step 9.mp4
11. Building a RNN - Step 9.srt
12. Building a RNN - Step 10.mp4
12. Building a RNN - Step 10.srt
13. Building a RNN - Step 11.mp4
13. Building a RNN - Step 11.srt
14. Building a RNN - Step 12.mp4
14. Building a RNN - Step 12.srt
15. Building a RNN - Step 13.mp4
15. Building a RNN - Step 13.srt
16. Building a RNN - Step 14.mp4
16. Building a RNN - Step 14.srt
17. Building a RNN - Step 15.mp4
17. Building a RNN - Step 15.srt
2. Installing Keras.html
3. Building a RNN - Step 1.mp4
3. Building a RNN - Step 1.srt
4. Building a RNN - Step 2.mp4
4. Building a RNN - Step 2.srt
5. Building a RNN - Step 3.mp4
5. Building a RNN - Step 3.srt
6. Building a RNN - Step 4.mp4
6. Building a RNN - Step 4.srt
7. Building a RNN - Step 5.mp4
7. Building a RNN - Step 5.srt
8. Building a RNN - Step 6.mp4
8. Building a RNN - Step 6.srt
9. Building a RNN - Step 7.mp4
9. Building a RNN - Step 7.srt
16. Evaluating, Improving and Tuning the RNN
1. Evaluating the RNN.html
2. Improving the RNN.html
3. Tuning the RNN.html
17. ------------------------ Part 4 - Self Organizing Maps ------------------------
1. Welcome to Part 4 - Self Organizing Maps.html
18. SOMs Intuition
1. Plan of attack.mp4
1. Plan of attack.srt
10. EXTRA K-means Clustering (part 3).mp4
10. EXTRA K-means Clustering (part 3).srt
2. How do Self-Organizing Maps Work.mp4
2. How do Self-Organizing Maps Work.srt
3. Why revisit K-Means.mp4
3. Why revisit K-Means.srt
4. K-Means Clustering (Refresher).mp4
4. K-Means Clustering (Refresher).srt
5. How do Self-Organizing Maps Learn (Part 1).mp4
5. How do Self-Organizing Maps Learn (Part 1).srt
6. How do Self-Organizing Maps Learn (Part 2).mp4
6. How do Self-Organizing Maps Learn (Part 2).srt
7. Live SOM example.mp4
7. Live SOM example.srt
8. Reading an Advanced SOM.mp4
8. Reading an Advanced SOM.srt
9. EXTRA K-means Clustering (part 2).mp4
9. EXTRA K-means Clustering (part 2).srt
19. Building a SOM
1. How to get the dataset.mp4
1. How to get the dataset.srt
2. Building a SOM - Step 1.mp4
2. Building a SOM - Step 1.srt
3. Building a SOM - Step 2.mp4
3. Building a SOM - Step 2.srt
4. Building a SOM - Step 3.mp4
4. Building a SOM - Step 3.srt
5. Building a SOM - Step 4.mp4
5. Building a SOM - Step 4.srt
2. --------------------- Part 1 - Artificial Neural Networks ---------------------
1. Welcome to Part 1 - Artificial Neural Networks.html
20. Mega Case Study
1. Mega Case Study - Step 1.mp4
1. Mega Case Study - Step 1.srt
2. Mega Case Study - Step 2.mp4
2. Mega Case Study - Step 2.srt
3. Mega Case Study - Step 3.mp4
3. Mega Case Study - Step 3.srt
4. Mega Case Study - Step 4.mp4
4. Mega Case Study - Step 4.srt
21. ------------------------- Part 5 - Boltzmann Machines -------------------------
1. Welcome to Part 5 - Boltzmann Machines.html
22. Boltzmann Machine Intuition
1. Plan of attack.mp4
1. Plan of attack.srt
2. Boltzmann Machine.mp4
2. Boltzmann Machine.srt
3. Energy-Based Models (EBM).mp4
3. Energy-Based Models (EBM).srt
4. Editing Wikipedia - Our Contribution to the World.mp4
4. Editing Wikipedia - Our Contribution to the World.srt
5. Restricted Boltzmann Machine.mp4
5. Restricted Boltzmann Machine.srt
6. Contrastive Divergence.mp4
6. Contrastive Divergence.srt
7. Deep Belief Networks.mp4
7. Deep Belief Networks.srt
8. Deep Boltzmann Machines.mp4
8. Deep Boltzmann Machines.srt
23. Building a Boltzmann Machine
1. How to get the dataset.mp4
1. How to get the dataset.srt
10. Building a Boltzmann Machine - Step 6.mp4
10. Building a Boltzmann Machine - Step 6.srt
11. Building a Boltzmann Machine - Step 7.mp4
11. Building a Boltzmann Machine - Step 7.srt
12. Building a Boltzmann Machine - Step 8.mp4
12. Building a Boltzmann Machine - Step 8.srt
13. Building a Boltzmann Machine - Step 9.mp4
13. Building a Boltzmann Machine - Step 9.srt
14. Building a Boltzmann Machine - Step 10.mp4
14. Building a Boltzmann Machine - Step 10.srt
15. Building a Boltzmann Machine - Step 11.mp4
15. Building a Boltzmann Machine - Step 11.srt
16. Building a Boltzmann Machine - Step 12.mp4
16. Building a Boltzmann Machine - Step 12.srt
17. Building a Boltzmann Machine - Step 13.mp4
17. Building a Boltzmann Machine - Step 13.srt
18. Building a Boltzmann Machine - Step 14.mp4
18. Building a Boltzmann Machine - Step 14.srt
19. Evaluating the Boltzmann Machine.html
2. Installing PyTorch.html
3. Building a Boltzmann Machine - Introduction.mp4
3. Building a Boltzmann Machine - Introduction.srt
4. Same Data Preprocessing in Parts 5 and 6.html
5. Building a Boltzmann Machine - Step 1.mp4
5. Building a Boltzmann Machine - Step 1.srt
6. Building a Boltzmann Machine - Step 2.mp4
6. Building a Boltzmann Machine - Step 2.srt
7. Building a Boltzmann Machine - Step 3.mp4
7. Building a Boltzmann Machine - Step 3.srt
8. Building a Boltzmann Machine - Step 4.mp4
8. Building a Boltzmann Machine - Step 4.srt
9. Building a Boltzmann Machine - Step 5.mp4
9. Building a Boltzmann Machine - Step 5.srt
24. ---------------------------- Part 6 - AutoEncoders ----------------------------
1. Welcome to Part 6 - AutoEncoders.html
25. AutoEncoders Intuition
1. Plan of attack.mp4
1. Plan of attack.srt
10. Deep Autoencoders.mp4
10. Deep Autoencoders.srt
2. Auto Encoders.mp4
2. Auto Encoders.srt
3. A Note on Biases.mp4
3. A Note on Biases.srt
4. Training an Auto Encoder.mp4
4. Training an Auto Encoder.srt
5. Overcomplete hidden layers.mp4
5. Overcomplete hidden layers.srt
6. Sparse Autoencoders.mp4
6. Sparse Autoencoders.srt
7. Denoising Autoencoders.mp4
7. Denoising Autoencoders.srt
8. Contractive Autoencoders.mp4
8. Contractive Autoencoders.srt
9. Stacked Autoencoders.mp4
9. Stacked Autoencoders.srt
26. Building an AutoEncoder
1. How to get the dataset.mp4
1. How to get the dataset.srt
10. Building an AutoEncoder - Step 6.mp4
10. Building an AutoEncoder - Step 6.srt
11. Building an AutoEncoder - Step 7.mp4
11. Building an AutoEncoder - Step 7.srt
12. Building an AutoEncoder - Step 8.mp4
12. Building an AutoEncoder - Step 8.srt
13. Building an AutoEncoder - Step 9.mp4
13. Building an AutoEncoder - Step 9.srt
14. Building an AutoEncoder - Step 10.mp4
14. Building an AutoEncoder - Step 10.srt
15. Building an AutoEncoder - Step 11.mp4
15. Building an AutoEncoder - Step 11.srt
16. THANK YOU bonus video.mp4
16. THANK YOU bonus video.srt
2. Installing PyTorch.html
3. Same Data Preprocessing in Parts 5 and 6.html
4. Building an AutoEncoder - Step 1.mp4
4. Building an AutoEncoder - Step 1.srt
5. Building an AutoEncoder - Step 2.mp4
5. Building an AutoEncoder - Step 2.srt
6. Building an AutoEncoder - Step 3.mp4
6. Building an AutoEncoder - Step 3.srt
7. Homework Challenge - Coding Exercise.html
8. Building an AutoEncoder - Step 4.mp4
8. Building an AutoEncoder - Step 4.srt
9. Building an AutoEncoder - Step 5.mp4
9. Building an AutoEncoder - Step 5.srt
27. ------------------- Annex - Get the Machine Learning Basics -------------------
1. Annex - Get the Machine Learning Basics.html
28. Regression & Classification Intuition
1. What You Need for Regression & Classification.html
2. Simple Linear Regression Intuition - Step 1.mp4
2. Simple Linear Regression Intuition - Step 1.srt
3. Simple Linear Regression Intuition - Step 2.mp4
3. Simple Linear Regression Intuition - Step 2.srt
4. Multiple Linear Regression Intuition.mp4
4. Multiple Linear Regression Intuition.srt
5. Logistic Regression Intuition.mp4
5. Logistic Regression Intuition.srt
29. Data Preprocessing Template
1. Data Preprocessing - Step 1.mp4
1. Data Preprocessing - Step 1.srt
2. Data Preprocessing - Step 2.mp4
2. Data Preprocessing - Step 2.srt
3. Data Preprocessing - Step 3.mp4
3. Data Preprocessing - Step 3.srt
4. Data Preprocessing - Step 4.mp4
4. Data Preprocessing - Step 4.srt
5. Data Preprocessing - Step 5.mp4
5. Data Preprocessing - Step 5.srt
6. Data Preprocessing - Step 6.mp4
6. Data Preprocessing - Step 6.srt
7. Data Preprocessing Template.mp4
7. Data Preprocessing Template.srt
3. ANN Intuition
1. Plan of Attack.mp4
1. Plan of Attack.srt
2. The Neuron.mp4
2. The Neuron.srt
3. The Activation Function.mp4
3. The Activation Function.srt
4. How do Neural Networks work.mp4
4. How do Neural Networks work.srt
5. How do Neural Networks learn.mp4
5. How do Neural Networks learn.srt
6. Gradient Descent.mp4
6. Gradient Descent.srt
7. Stochastic Gradient Descent.mp4
7. Stochastic Gradient Descent.srt
8. Backpropagation.mp4
8. Backpropagation.srt
30. Classification Template
1. Logistic Regression Implementation - Step 1.mp4
1. Logistic Regression Implementation - Step 1.srt
2. Logistic Regression Implementation - Step 2.mp4
2. Logistic Regression Implementation - Step 2.srt
3. Logistic Regression Implementation - Step 3.mp4
3. Logistic Regression Implementation - Step 3.srt
4. Logistic Regression Implementation - Step 4.mp4
4. Logistic Regression Implementation - Step 4.srt
5. Logistic Regression Implementation - Step 5.mp4
5. Logistic Regression Implementation - Step 5.srt
6. Classification Template.mp4
6. Classification Template.srt
31. Bonus Lectures
1. YOUR SPECIAL BONUS.html
4. Building an ANN
1. Prerequisites.html
10. Building an ANN - Step 6.mp4
10. Building an ANN - Step 6.srt
11. Building an ANN - Step 7.mp4
11. Building an ANN - Step 7.srt
12. Building an ANN - Step 8.mp4
12. Building an ANN - Step 8.srt
13. Building an ANN - Step 9.mp4
13. Building an ANN - Step 9.srt
14. Building an ANN - Step 10.mp4
14. Building an ANN - Step 10.srt
2. How to get the dataset.mp4
2. How to get the dataset.srt
3. Business Problem Description.mp4
3. Business Problem Description.srt
4. Installing Keras.html
5. Building an ANN - Step 1.mp4
5. Building an ANN - Step 1.srt
6. Building an ANN - Step 2.mp4
6. Building an ANN - Step 2.srt
7. Building an ANN - Step 3.mp4
7. Building an ANN - Step 3.srt
8. Building an ANN - Step 4.mp4
8. Building an ANN - Step 4.srt
9. Building an ANN - Step 5.mp4
9. Building an ANN - Step 5.srt
5. Homework Challenge - Should we say goodbye to that customer
1. Homework Instruction.html
2. Homework Solution.mp4
2. Homework Solution.srt
6. Evaluating, Improving and Tuning the ANN
1. Evaluating the ANN.mp4
1. Evaluating the ANN.srt
2. Improving the ANN.mp4
2. Improving the ANN.srt
3. Tuning the ANN.mp4
3. Tuning the ANN.srt
7. Homework Challenge - Put me one step down on the podium
1. Homework Instruction.html
8. -------------------- Part 2 - Convolutional Neural Networks --------------------
1. Welcome to Part 2 - Convolutional Neural Networks.html
9. CNN Intuition
1. What You'll Need for CNN.html
10. Softmax & Cross-Entropy.mp4
10. Softmax & Cross-Entropy.srt
2. Plan of attack.mp4
2. Plan of attack.srt
3. What are convolutional neural networks.mp4
3. What are convolutional neural networks.srt
4. Step 1 - Convolution Operation.mp4
4. Step 1 - Convolution Operation.srt
5. Step 1(b) - ReLU Layer.mp4
5. Step 1(b) - ReLU Layer.srt
6. Step 2 - Pooling.mp4
6. Step 2 - Pooling.srt
7. Step 3 - Flattening.mp4
7. Step 3 - Flattening.srt
8. Step 4 - Full Connection.mp4
8. Step 4 - Full Connection.srt
9. Summary.mp4
9. Summary.srt
Read Me.txt
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