[FreeCourseLab.com] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks

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  • 1. Welcome to the course/1. Updates on Udemy Reviews.mp4 61.16 MB
    6. Evaluating, Improving and Tuning the ANN/1. Evaluating the ANN.mp4 55.85 MB
    14. RNN Intuition/6. Practical intuition.mp4 52.84 MB
    26. Building an AutoEncoder/16. THANK YOU bonus video.mp4 52.31 MB
    6. Evaluating, Improving and Tuning the ANN/3. Tuning the ANN.mp4 50.77 MB
    26. Building an AutoEncoder/8. Building an AutoEncoder - Step 4.mp4 49.56 MB
    10. Building a CNN/12. Building a CNN - Step 9.mp4 46.88 MB
    14. RNN Intuition/5. LSTMs.mp4 45.96 MB
    4. Building an ANN/6. Building an ANN - Step 2.mp4 45.87 MB
    23. Building a Boltzmann Machine/8. Building a Boltzmann Machine - Step 4.mp4 45.65 MB
    18. SOMs Intuition/8. Reading an Advanced SOM.mp4 43.19 MB
    23. Building a Boltzmann Machine/17. Building a Boltzmann Machine - Step 13.mp4 42.97 MB
    9. CNN Intuition/8. Step 4 - Full Connection.mp4 42.75 MB
    30. Classification Template/5. Logistic Regression Implementation - Step 5.mp4 42.49 MB
    11. Homework - What's that pet/2. Homework Solution.mp4 40.96 MB
    23. Building a Boltzmann Machine/18. Building a Boltzmann Machine - Step 14.mp4 40.44 MB
    9. CNN Intuition/6. Step 2 - Pooling.mp4 40.25 MB
    15. Building a RNN/15. Building a RNN - Step 13.mp4 39.87 MB
    26. Building an AutoEncoder/10. Building an AutoEncoder - Step 6.mp4 37.93 MB
    5. Homework Challenge - Should we say goodbye to that customer/2. Homework Solution.mp4 37.63 MB
    14. RNN Intuition/3. The idea behind Recurrent Neural Networks.mp4 37.31 MB
    15. Building a RNN/6. Building a RNN - Step 4.mp4 37.12 MB
    19. Building a SOM/4. Building a SOM - Step 3.mp4 36.03 MB
    20. Mega Case Study/3. Mega Case Study - Step 3.mp4 35.21 MB
    26. Building an AutoEncoder/12. Building an AutoEncoder - Step 8.mp4 33.83 MB
    26. Building an AutoEncoder/11. Building an AutoEncoder - Step 7.mp4 33.71 MB
    9. CNN Intuition/10. Softmax & Cross-Entropy.mp4 33.23 MB
    22. Boltzmann Machine Intuition/5. Restricted Boltzmann Machine.mp4 31.89 MB
    26. Building an AutoEncoder/13. Building an AutoEncoder - Step 9.mp4 31.61 MB
    1. Welcome to the course/2. What is Deep Learning.mp4 31.32 MB
    9. CNN Intuition/4. Step 1 - Convolution Operation.mp4 31.03 MB
    23. Building a Boltzmann Machine/16. Building a Boltzmann Machine - Step 12.mp4 30.96 MB
    19. Building a SOM/2. Building a SOM - Step 1.mp4 30.67 MB
    3. ANN Intuition/2. The Neuron.mp4 29.58 MB
    4. Building an ANN/9. Building an ANN - Step 5.mp4 29.58 MB
    9. CNN Intuition/3. What are convolutional neural networks.mp4 29.51 MB
    15. Building a RNN/13. Building a RNN - Step 11.mp4 29.3 MB
    23. Building a Boltzmann Machine/12. Building a Boltzmann Machine - Step 8.mp4 29.21 MB
    28. Regression & Classification Intuition/5. Logistic Regression Intuition.mp4 29.18 MB
    14. RNN Intuition/4. The Vanishing Gradient Problem.mp4 29.01 MB
    29. Data Preprocessing Template/4. Data Preprocessing - Step 4.mp4 28.95 MB
    19. Building a SOM/5. Building a SOM - Step 4.mp4 28.73 MB
    26. Building an AutoEncoder/15. Building an AutoEncoder - Step 11.mp4 28.3 MB
    26. Building an AutoEncoder/5. Building an AutoEncoder - Step 2.mp4 27.81 MB
    10. Building a CNN/7. Building a CNN - Step 4.mp4 27.2 MB
    9. CNN Intuition/9. Summary.vtt 26.57 MB
    3. ANN Intuition/5. How do Neural Networks learn.mp4 26.56 MB
    15. Building a RNN/7. Building a RNN - Step 5.mp4 26.21 MB
    26. Building an AutoEncoder/4. Building an AutoEncoder - Step 1.mp4 26.05 MB
    18. SOMs Intuition/5. How do Self-Organizing Maps Learn (Part 1).mp4 25.09 MB
    22. Boltzmann Machine Intuition/2. Boltzmann Machine.mp4 25.01 MB
    22. Boltzmann Machine Intuition/6. Contrastive Divergence.mp4 24.92 MB
    23. Building a Boltzmann Machine/14. Building a Boltzmann Machine - Step 10.mp4 24.43 MB
    4. Building an ANN/5. Building an ANN - Step 1.mp4 24.29 MB
    3. ANN Intuition/4. How do Neural Networks work.mp4 23.54 MB
    23. Building a Boltzmann Machine/11. Building a Boltzmann Machine - Step 7.mp4 22.91 MB
    29. Data Preprocessing Template/5. Data Preprocessing - Step 5.mp4 22.9 MB
    29. Data Preprocessing Template/6. Data Preprocessing - Step 6.mp4 22.8 MB
    20. Mega Case Study/4. Mega Case Study - Step 4.mp4 22.75 MB
    29. Data Preprocessing Template/3. Data Preprocessing - Step 3.mp4 21.74 MB
    15. Building a RNN/17. Building a RNN - Step 15.mp4 21.68 MB
    25. AutoEncoders Intuition/2. Auto Encoders.mp4 21.55 MB
    15. Building a RNN/16. Building a RNN - Step 14.mp4 21.55 MB
    18. SOMs Intuition/4. K-Means Clustering (Refresher).mp4 21.24 MB
    23. Building a Boltzmann Machine/5. Building a Boltzmann Machine - Step 1.mp4 21.17 MB
    23. Building a Boltzmann Machine/3. Building a Boltzmann Machine - Introduction.mp4 21.07 MB
    23. Building a Boltzmann Machine/6. Building a Boltzmann Machine - Step 2.mp4 20.85 MB
    15. Building a RNN/9. Building a RNN - Step 7.mp4 20.83 MB
    10. Building a CNN/13. Building a CNN - Step 10.mp4 20.55 MB
    1. Welcome to the course/3. Installing Python.mp4 20.39 MB
    26. Building an AutoEncoder/6. Building an AutoEncoder - Step 3.mp4 20.09 MB
    6. Evaluating, Improving and Tuning the ANN/2. Improving the ANN.mp4 19.83 MB
    19. Building a SOM/3. Building a SOM - Step 2.mp4 19.44 MB
    10. Building a CNN/4. Building a CNN - Step 1.mp4 19.19 MB
    23. Building a Boltzmann Machine/10. Building a Boltzmann Machine - Step 6.mp4 18.79 MB
    3. ANN Intuition/6. Gradient Descent.mp4 18.54 MB
    18. SOMs Intuition/10. EXTRA K-means Clustering (part 3).mp4 18.48 MB
    22. Boltzmann Machine Intuition/4. Editing Wikipedia - Our Contribution to the World.mp4 18.43 MB
    23. Building a Boltzmann Machine/7. Building a Boltzmann Machine - Step 3.mp4 18.21 MB
    4. Building an ANN/12. Building an ANN - Step 8.mp4 18.18 MB
    4. Building an ANN/14. Building an ANN - Step 10.mp4 17.44 MB
    4. Building an ANN/13. Building an ANN - Step 9.mp4 16.89 MB
    3. ANN Intuition/7. Stochastic Gradient Descent.mp4 16.83 MB
    23. Building a Boltzmann Machine/15. Building a Boltzmann Machine - Step 11.mp4 16.69 MB
    4. Building an ANN/3. Business Problem Description.mp4 16.37 MB
    18. SOMs Intuition/2. How do Self-Organizing Maps Work.mp4 15.97 MB
    15. Building a RNN/5. Building a RNN - Step 3.mp4 15.92 MB
    29. Data Preprocessing Template/2. Data Preprocessing - Step 2.mp4 15.86 MB
    22. Boltzmann Machine Intuition/3. Energy-Based Models (EBM).mp4 15.73 MB
    15. Building a RNN/4. Building a RNN - Step 2.mp4 15.6 MB
    18. SOMs Intuition/6. How do Self-Organizing Maps Learn (Part 2).mp4 15.5 MB
    23. Building a Boltzmann Machine/13. Building a Boltzmann Machine - Step 9.mp4 15.28 MB
    3. ANN Intuition/3. The Activation Function.mp4 14.76 MB
    9. CNN Intuition/5. Step 1(b) - ReLU Layer.mp4 14.09 MB
    15. Building a RNN/3. Building a RNN - Step 1.mp4 13.7 MB
    15. Building a RNN/14. Building a RNN - Step 12.mp4 13.46 MB
    15. Building a RNN/10. Building a RNN - Step 8.mp4 13.44 MB
    29. Data Preprocessing Template/1. Data Preprocessing - Step 1.mp4 13.25 MB
    18. SOMs Intuition/7. Live SOM example.mp4 12.68 MB
    10. Building a CNN/10. Building a CNN - Step 7.mp4 12.57 MB
    18. SOMs Intuition/9. EXTRA K-means Clustering (part 2).mp4 12.35 MB
    30. Classification Template/1. Logistic Regression Implementation - Step 1.mp4 12.2 MB
    26. Building an AutoEncoder/9. Building an AutoEncoder - Step 5.mp4 11.86 MB
    30. Classification Template/6. Classification Template.mp4 11.72 MB
    25. AutoEncoders Intuition/6. Sparse Autoencoders.mp4 11.53 MB
    15. Building a RNN/12. Building a RNN - Step 10.mp4 11.42 MB
    26. Building an AutoEncoder/14. Building an AutoEncoder - Step 10.mp4 11.27 MB
    23. Building a Boltzmann Machine/9. Building a Boltzmann Machine - Step 5.mp4 11.13 MB
    25. AutoEncoders Intuition/4. Training an Auto Encoder.mp4 11.12 MB
    3. ANN Intuition/8. Backpropagation.mp4 10.92 MB
    22. Boltzmann Machine Intuition/7. Deep Belief Networks.mp4 10.35 MB
    10. Building a CNN/8. Building a CNN - Step 5.mp4 9.91 MB
    10. Building a CNN/9. Building a CNN - Step 6.mp4 9.7 MB
    20. Mega Case Study/2. Mega Case Study - Step 2.mp4 9.69 MB
    30. Classification Template/4. Logistic Regression Implementation - Step 4.mp4 9.68 MB
    28. Regression & Classification Intuition/2. Simple Linear Regression Intuition - Step 1.mp4 9.47 MB
    4. Building an ANN/11. Building an ANN - Step 7.mp4 9 MB
    4. Building an ANN/7. Building an ANN - Step 3.mp4 8.37 MB
    15. Building a RNN/11. Building a RNN - Step 9.mp4 8.17 MB
    29. Data Preprocessing Template/7. Data Preprocessing Template.mp4 8.14 MB
    30. Classification Template/2. Logistic Regression Implementation - Step 2.mp4 8.14 MB
    9. CNN Intuition/9. Summary.mp4 7.92 MB
    10. Building a CNN/3. Introduction to CNNs.mp4 7.85 MB
    14. RNN Intuition/7. EXTRA LSTM Variations.mp4 7.33 MB
    4. Building an ANN/10. Building an ANN - Step 6.mp4 7.05 MB
    4. Building an ANN/3. Business Problem Description.vtt 6.88 MB
    10. Building a CNN/11. Building a CNN - Step 8.mp4 6.8 MB
    15. Building a RNN/8. Building a RNN - Step 6.mp4 6.77 MB
    15. Building a RNN/1. How to get the dataset.mp4 6.5 MB
    10. Building a CNN/1. How to get the dataset.mp4 6.49 MB
    19. Building a SOM/1. How to get the dataset.mp4 6.49 MB
    23. Building a Boltzmann Machine/1. How to get the dataset.mp4 6.49 MB
    26. Building an AutoEncoder/1. How to get the dataset.mp4 6.49 MB
    4. Building an ANN/2. How to get the dataset.mp4 6.49 MB
    1. Welcome to the course/4. How to get the dataset.mp4 6.48 MB
    25. AutoEncoders Intuition/5. Overcomplete hidden layers.mp4 6.42 MB
    4. Building an ANN/8. Building an ANN - Step 4.mp4 5.96 MB
    30. Classification Template/3. Logistic Regression Implementation - Step 3.mp4 5.96 MB
    10. Building a CNN/5. Building a CNN - Step 2.mp4 5.85 MB
    28. Regression & Classification Intuition/3. Simple Linear Regression Intuition - Step 2.mp4 5.38 MB
    9. CNN Intuition/2. Plan of attack.mp4 4.92 MB
    22. Boltzmann Machine Intuition/8. Deep Boltzmann Machines.mp4 4.85 MB
    3. ANN Intuition/1. Plan of Attack.mp4 4.74 MB
    25. AutoEncoders Intuition/7. Denoising Autoencoders.mp4 4.74 MB
    18. SOMs Intuition/1. Plan of attack.mp4 4.45 MB
    25. AutoEncoders Intuition/8. Contractive Autoencoders.mp4 4.34 MB
    20. Mega Case Study/1. Mega Case Study - Step 1.mp4 4.28 MB
    14. RNN Intuition/2. Plan of attack.mp4 4.19 MB
    25. AutoEncoders Intuition/9. Stacked Autoencoders.mp4 3.64 MB
    18. SOMs Intuition/3. Why revisit K-Means.mp4 3.45 MB
    25. AutoEncoders Intuition/1. Plan of attack.mp4 3.35 MB
    9. CNN Intuition/7. Step 3 - Flattening.mp4 3.27 MB
    22. Boltzmann Machine Intuition/1. Plan of attack.mp4 3.26 MB
    25. AutoEncoders Intuition/10. Deep Autoencoders.mp4 2.85 MB
    10. Building a CNN/6. Building a CNN - Step 3.mp4 2.24 MB
    25. AutoEncoders Intuition/3. A Note on Biases.mp4 2.05 MB
    28. Regression & Classification Intuition/4. Multiple Linear Regression Intuition.mp4 1.82 MB
    23. Building a Boltzmann Machine/8. Building a Boltzmann Machine - Step 4.vtt 38.19 KB
    26. Building an AutoEncoder/8. Building an AutoEncoder - Step 4.vtt 37.06 KB
    6. Evaluating, Improving and Tuning the ANN/1. Evaluating the ANN.vtt 36.03 KB
    10. Building a CNN/12. Building a CNN - Step 9.vtt 35.76 KB
    14. RNN Intuition/5. LSTMs.vtt 35.34 KB
    9. CNN Intuition/8. Step 4 - Full Connection.vtt 34.89 KB
    22. Boltzmann Machine Intuition/5. Restricted Boltzmann Machine.vtt 34.12 KB
    6. Evaluating, Improving and Tuning the ANN/3. Tuning the ANN.vtt 33.18 KB
    4. Building an ANN/6. Building an ANN - Step 2.vtt 32.33 KB
    23. Building a Boltzmann Machine/17. Building a Boltzmann Machine - Step 13.vtt 32.33 KB
    3. ANN Intuition/2. The Neuron.vtt 32.1 KB
    30. Classification Template/5. Logistic Regression Implementation - Step 5.vtt 31.84 KB
    19. Building a SOM/4. Building a SOM - Step 3.vtt 31.75 KB
    26. Building an AutoEncoder/10. Building an AutoEncoder - Step 6.vtt 31.32 KB
    9. CNN Intuition/10. Softmax & Cross-Entropy.vtt 31.21 KB
    23. Building a Boltzmann Machine/18. Building a Boltzmann Machine - Step 14.vtt 30.89 KB
    28. Regression & Classification Intuition/5. Logistic Regression Intuition.vtt 29.42 KB
    9. CNN Intuition/4. Step 1 - Convolution Operation.vtt 29.1 KB
    14. RNN Intuition/3. The idea behind Recurrent Neural Networks.vtt 28.62 KB
    22. Boltzmann Machine Intuition/6. Contrastive Divergence.vtt 28.25 KB
    26. Building an AutoEncoder/12. Building an AutoEncoder - Step 8.vtt 28.06 KB
    9. CNN Intuition/3. What are convolutional neural networks.vtt 28.01 KB
    18. SOMs Intuition/4. K-Means Clustering (Refresher).vtt 27.94 KB
    15. Building a RNN/15. Building a RNN - Step 13.vtt 27.92 KB
    11. Homework - What's that pet/2. Homework Solution.vtt 27.71 KB
    22. Boltzmann Machine Intuition/2. Boltzmann Machine.vtt 27.24 KB
    14. RNN Intuition/4. The Vanishing Gradient Problem.vtt 26.78 KB
    18. SOMs Intuition/5. How do Self-Organizing Maps Learn (Part 1).vtt 26.34 KB
    18. SOMs Intuition/8. Reading an Advanced SOM.vtt 25.82 KB
    9. CNN Intuition/6. Step 2 - Pooling.vtt 25.76 KB
    14. RNN Intuition/6. Practical intuition.vtt 25.3 KB
    20. Mega Case Study/3. Mega Case Study - Step 3.vtt 25.09 KB
    26. Building an AutoEncoder/11. Building an AutoEncoder - Step 7.vtt 24.95 KB
    3. ANN Intuition/5. How do Neural Networks learn.vtt 24.62 KB
    26. Building an AutoEncoder/13. Building an AutoEncoder - Step 9.vtt 24.53 KB
    10. Building a CNN/7. Building a CNN - Step 4.vtt 24.09 KB
    4. Building an ANN/5. Building an ANN - Step 1.vtt 24.08 KB
    19. Building a SOM/2. Building a SOM - Step 1.vtt 23.74 KB
    15. Building a RNN/6. Building a RNN - Step 4.vtt 22.92 KB
    4. Building an ANN/9. Building an ANN - Step 5.vtt 22.69 KB
    18. SOMs Intuition/10. EXTRA K-means Clustering (part 3).vtt 22.53 KB
    23. Building a Boltzmann Machine/12. Building a Boltzmann Machine - Step 8.vtt 22.32 KB
    23. Building a Boltzmann Machine/16. Building a Boltzmann Machine - Step 12.vtt 22.24 KB
    29. Data Preprocessing Template/4. Data Preprocessing - Step 4.vtt 21.71 KB
    26. Building an AutoEncoder/5. Building an AutoEncoder - Step 2.vtt 21.68 KB
    3. ANN Intuition/4. How do Neural Networks work.vtt 21.67 KB
    26. Building an AutoEncoder/15. Building an AutoEncoder - Step 11.vtt 21.59 KB
    26. Building an AutoEncoder/4. Building an AutoEncoder - Step 1.vtt 20.88 KB
    23. Building a Boltzmann Machine/14. Building a Boltzmann Machine - Step 10.vtt 20.39 KB
    1. Welcome to the course/2. What is Deep Learning.vtt 19.73 KB
    22. Boltzmann Machine Intuition/3. Energy-Based Models (EBM).vtt 19.7 KB
    25. AutoEncoders Intuition/2. Auto Encoders.vtt 19.43 KB
    19. Building a SOM/5. Building a SOM - Step 4.vtt 19.32 KB
    20. Mega Case Study/4. Mega Case Study - Step 4.vtt 19.32 KB
    29. Data Preprocessing Template/6. Data Preprocessing - Step 6.vtt 19.25 KB
    29. Data Preprocessing Template/5. Data Preprocessing - Step 5.vtt 19.14 KB
    23. Building a Boltzmann Machine/11. Building a Boltzmann Machine - Step 7.vtt 18.8 KB
    23. Building a Boltzmann Machine/3. Building a Boltzmann Machine - Introduction.vtt 18.52 KB
    15. Building a RNN/7. Building a RNN - Step 5.vtt 17.81 KB
    5. Homework Challenge - Should we say goodbye to that customer/2. Homework Solution.vtt 17.65 KB
    29. Data Preprocessing Template/3. Data Preprocessing - Step 3.vtt 17.53 KB
    19. Building a SOM/3. Building a SOM - Step 2.vtt 17.32 KB
    3. ANN Intuition/6. Gradient Descent.vtt 17.28 KB
    10. Building a CNN/4. Building a CNN - Step 1.vtt 16.82 KB
    15. Building a RNN/13. Building a RNN - Step 11.vtt 16.73 KB
    18. SOMs Intuition/6. How do Self-Organizing Maps Learn (Part 2).vtt 16.67 KB
    23. Building a Boltzmann Machine/5. Building a Boltzmann Machine - Step 1.vtt 16.66 KB
    23. Building a Boltzmann Machine/6. Building a Boltzmann Machine - Step 2.vtt 16.65 KB
    18. SOMs Intuition/2. How do Self-Organizing Maps Work.vtt 16.51 KB
    15. Building a RNN/17. Building a RNN - Step 15.vtt 16.01 KB
    3. ANN Intuition/7. Stochastic Gradient Descent.vtt 15.85 KB
    10. Building a CNN/13. Building a CNN - Step 10.vtt 15.64 KB
    18. SOMs Intuition/9. EXTRA K-means Clustering (part 2).vtt 15.46 KB
    3. ANN Intuition/3. The Activation Function.vtt 15.25 KB
    23. Building a Boltzmann Machine/7. Building a Boltzmann Machine - Step 3.vtt 14.83 KB
    1. Welcome to the course/3. Installing Python.vtt 14.72 KB
    26. Building an AutoEncoder/6. Building an AutoEncoder - Step 3.vtt 14.69 KB
    23. Building a Boltzmann Machine/10. Building a Boltzmann Machine - Step 6.vtt 14.47 KB
    15. Building a RNN/9. Building a RNN - Step 7.vtt 14.45 KB
    29. Data Preprocessing Template/1. Data Preprocessing - Step 1.vtt 13.9 KB
    29. Data Preprocessing Template/2. Data Preprocessing - Step 2.vtt 13.79 KB
    4. Building an ANN/12. Building an ANN - Step 8.vtt 13.72 KB
    15. Building a RNN/16. Building a RNN - Step 14.vtt 12.85 KB
    4. Building an ANN/14. Building an ANN - Step 10.vtt 12.73 KB
    6. Evaluating, Improving and Tuning the ANN/2. Improving the ANN.vtt 12.49 KB
    23. Building a Boltzmann Machine/13. Building a Boltzmann Machine - Step 9.vtt 12.23 KB
    25. AutoEncoders Intuition/4. Training an Auto Encoder.vtt 12.1 KB
    23. Building a Boltzmann Machine/15. Building a Boltzmann Machine - Step 11.vtt 11.61 KB
    15. Building a RNN/4. Building a RNN - Step 2.vtt 11.54 KB
    9. CNN Intuition/5. Step 1(b) - ReLU Layer.vtt 11.33 KB
    10. Building a CNN/10. Building a CNN - Step 7.vtt 11.22 KB
    25. AutoEncoders Intuition/6. Sparse Autoencoders.vtt 11.09 KB
    15. Building a RNN/3. Building a RNN - Step 1.vtt 10.96 KB
    4. Building an ANN/13. Building an ANN - Step 9.vtt 10.68 KB
    15. Building a RNN/10. Building a RNN - Step 8.vtt 10.27 KB
    28. Regression & Classification Intuition/2. Simple Linear Regression Intuition - Step 1.vtt 10.21 KB
    22. Boltzmann Machine Intuition/7. Deep Belief Networks.vtt 9.61 KB
    15. Building a RNN/5. Building a RNN - Step 3.vtt 9.56 KB
    23. Building a Boltzmann Machine/9. Building a Boltzmann Machine - Step 5.vtt 9.43 KB
    10. Building a CNN/9. Building a CNN - Step 6.vtt 9.43 KB
    3. ANN Intuition/8. Backpropagation.vtt 9.07 KB
    26. Building an AutoEncoder/9. Building an AutoEncoder - Step 5.vtt 9.06 KB
    10. Building a CNN/8. Building a CNN - Step 5.vtt 8.99 KB
    30. Classification Template/1. Logistic Regression Implementation - Step 1.vtt 8.87 KB
    15. Building a RNN/14. Building a RNN - Step 12.vtt 8.61 KB
    26. Building an AutoEncoder/14. Building an AutoEncoder - Step 10.vtt 8.48 KB
    15. Building a RNN/12. Building a RNN - Step 10.vtt 8.4 KB
    18. SOMs Intuition/7. Live SOM example.vtt 8.31 KB
    20. Mega Case Study/2. Mega Case Study - Step 2.vtt 7.96 KB
    10. Building a CNN/3. Introduction to CNNs.vtt 7.84 KB
    30. Classification Template/6. Classification Template.vtt 7.46 KB
    30. Classification Template/4. Logistic Regression Implementation - Step 4.vtt 7.38 KB
    25. AutoEncoders Intuition/5. Overcomplete hidden layers.vtt 7.37 KB
    4. Building an ANN/11. Building an ANN - Step 7.vtt 7.21 KB
    29. Data Preprocessing Template/7. Data Preprocessing Template.vtt 7.18 KB
    9. CNN Intuition/2. Plan of attack.vtt 6.75 KB
    14. RNN Intuition/7. EXTRA LSTM Variations.vtt 6.14 KB
    22. Boltzmann Machine Intuition/4. Editing Wikipedia - Our Contribution to the World.vtt 6.04 KB
    20. Mega Case Study/1. Mega Case Study - Step 1.vtt 6.04 KB
    18. SOMs Intuition/1. Plan of attack.vtt 6 KB
    15. Building a RNN/11. Building a RNN - Step 9.vtt 5.95 KB
    4. Building an ANN/7. Building an ANN - Step 3.vtt 5.91 KB
    1. Welcome to the course/1. Updates on Udemy Reviews.vtt 5.73 KB
    22. Boltzmann Machine Intuition/8. Deep Boltzmann Machines.vtt 5.73 KB
    15. Building a RNN/8. Building a RNN - Step 6.vtt 5.53 KB
    30. Classification Template/2. Logistic Regression Implementation - Step 2.vtt 5.51 KB
    4. Building an ANN/10. Building an ANN - Step 6.vtt 5.47 KB
    28. Regression & Classification Intuition/3. Simple Linear Regression Intuition - Step 2.vtt 5.47 KB
    10. Building a CNN/5. Building a CNN - Step 2.vtt 5.21 KB
    10. Building a CNN/11. Building a CNN - Step 8.vtt 5.13 KB
    3. ANN Intuition/1. Plan of Attack.vtt 5.09 KB
    22. Boltzmann Machine Intuition/1. Plan of attack.vtt 4.77 KB
    25. AutoEncoders Intuition/7. Denoising Autoencoders.vtt 4.76 KB
    30. Classification Template/3. Logistic Regression Implementation - Step 3.vtt 4.57 KB
    25. AutoEncoders Intuition/8. Contractive Autoencoders.vtt 4.47 KB
    23. Building a Boltzmann Machine/19. Evaluating the Boltzmann Machine.html 4.47 KB
    14. RNN Intuition/2. Plan of attack.vtt 4.43 KB
    18. SOMs Intuition/3. Why revisit K-Means.vtt 4.4 KB
    25. AutoEncoders Intuition/1. Plan of attack.vtt 4.27 KB
    4. Building an ANN/8. Building an ANN - Step 4.vtt 4.16 KB
    25. AutoEncoders Intuition/10. Deep Autoencoders.vtt 3.48 KB
    9. CNN Intuition/7. Step 3 - Flattening.vtt 3.44 KB
    1. Welcome to the course/4. How to get the dataset.vtt 3.18 KB
    10. Building a CNN/1. How to get the dataset.vtt 3.18 KB
    15. Building a RNN/1. How to get the dataset.vtt 3.18 KB
    19. Building a SOM/1. How to get the dataset.vtt 3.18 KB
    23. Building a Boltzmann Machine/1. How to get the dataset.vtt 3.18 KB
    26. Building an AutoEncoder/1. How to get the dataset.vtt 3.18 KB
    4. Building an ANN/2. How to get the dataset.vtt 3.18 KB
    25. AutoEncoders Intuition/9. Stacked Autoencoders.vtt 3.05 KB
    31. Bonus Lectures/1. YOUR SPECIAL BONUS.html 3 KB
    25. AutoEncoders Intuition/3. A Note on Biases.vtt 2.47 KB
    10. Building a CNN/6. Building a CNN - Step 3.vtt 2.16 KB
    26. Building an AutoEncoder/16. THANK YOU bonus video.vtt 2.04 KB
    28. Regression & Classification Intuition/4. Multiple Linear Regression Intuition.vtt 2 KB
    16. Evaluating, Improving and Tuning the RNN/1. Evaluating the RNN.html 1.74 KB
    21. ------------------------- Part 5 - Boltzmann Machines -------------------------/1. Welcome to Part 5 - Boltzmann Machines.html 1.59 KB
    26. Building an AutoEncoder/7. Homework Challenge - Coding Exercise.html 1.54 KB
    4. Building an ANN/4. Installing Keras.html 1.42 KB
    26. Building an AutoEncoder/2. Installing PyTorch.html 1.38 KB
    23. Building a Boltzmann Machine/2. Installing PyTorch.html 1.36 KB
    4. Building an ANN/1. Prerequisites.html 1.34 KB
    16. Evaluating, Improving and Tuning the RNN/2. Improving the RNN.html 1.28 KB
    13. ---------------------- Part 3 - Recurrent Neural Networks ----------------------/1. Welcome to Part 3 - Recurrent Neural Networks.html 1.03 KB
    24. ---------------------------- Part 6 - AutoEncoders ----------------------------/1. Welcome to Part 6 - AutoEncoders.html 1.03 KB
    10. Building a CNN/2. Installing Keras.html 927 B
    15. Building a RNN/2. Installing Keras.html 927 B
    12. Evaluating, Improving and Tuning the CNN/1. Homework Challenge - Get the gold medal.html 917 B
    27. ------------------- Annex - Get the Machine Learning Basics -------------------/1. Annex - Get the Machine Learning Basics.html 873 B
    11. Homework - What's that pet/1. Homework Instruction.html 838 B
    16. Evaluating, Improving and Tuning the RNN/3. Tuning the RNN.html 693 B
    5. Homework Challenge - Should we say goodbye to that customer/1. Homework Instruction.html 682 B
    28. Regression & Classification Intuition/1. What You Need for Regression & Classification.html 648 B
    1. Welcome to the course/5. Some Additional Resources!!.html 611 B
    2. --------------------- Part 1 - Artificial Neural Networks ---------------------/1. Welcome to Part 1 - Artificial Neural Networks.html 516 B
    7. Homework Challenge - Put me one step down on the podium/1. Homework Instruction.html 426 B
    9. CNN Intuition/1. What You'll Need for CNN.html 386 B
    14. RNN Intuition/1. What You'll Need for RNN.html 366 B
    23. Building a Boltzmann Machine/4. Same Data Preprocessing in Parts 5 and 6.html 349 B
    26. Building an AutoEncoder/3. Same Data Preprocessing in Parts 5 and 6.html 348 B
    17. ------------------------ Part 4 - Self Organizing Maps ------------------------/1. Welcome to Part 4 - Self Organizing Maps.html 333 B
    8. -------------------- Part 2 - Convolutional Neural Networks --------------------/1. Welcome to Part 2 - Convolutional Neural Networks.html 323 B
    12. Evaluating, Improving and Tuning the CNN/2. Homework Challenge Solution - Get the gold medal.html 185 B
    [FreeCourseLab.com].url 126 B

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