1. Welcome to the course/1. Updates on Udemy Reviews.mp4 | 61.15 MB |
6. Evaluating, Improving and Tuning the ANN/1. Evaluating the ANN.mp4 | 55.84 MB |
14. RNN Intuition/6. Practical intuition.mp4 | 52.84 MB |
26. Building an AutoEncoder/16. THANK YOU bonus video.mp4 | 52.3 MB |
6. Evaluating, Improving and Tuning the ANN/3. Tuning the ANN.mp4 | 50.76 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 | 46.87 MB |
14. RNN Intuition/5. LSTMs.mp4 | 45.97 MB |
4. Building an ANN/6. Building an ANN - Step 2.mp4 | 45.86 MB |
23. Building a Boltzmann Machine/8. Building a Boltzmann Machine - Step 4.mp4 | 45.64 MB |
18. SOMs Intuition/8. Reading an Advanced SOM.mp4 | 43.18 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 | 42.74 MB |
30. Classification Template/5. Logistic Regression Implementation - Step 5.mp4 | 42.48 MB |
11. Homework - What's that pet/2. Homework Solution.mp4 | 40.97 MB |
23. Building a Boltzmann Machine/18. Building a Boltzmann Machine - Step 14.mp4 | 40.43 MB |
9. CNN Intuition/6. Step 2 - Pooling.mp4 | 40.25 MB |
15. Building a RNN/15. Building a RNN - Step 13.mp4 | 39.86 MB |
26. Building an AutoEncoder/10. Building an AutoEncoder - Step 6.mp4 | 37.92 MB |
5. Homework Challenge - Should we say goodbye to that customer/2. Homework Solution.mp4 | 37.62 MB |
14. RNN Intuition/3. The idea behind Recurrent Neural Networks.mp4 | 37.3 MB |
15. Building a RNN/6. Building a RNN - Step 4.mp4 | 37.11 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 | 35.2 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 | 33.7 MB |
9. CNN Intuition/10. Softmax & Cross-Entropy.mp4 | 33.24 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 | 31.31 MB |
9. CNN Intuition/4. Step 1 - Convolution Operation.mp4 | 31.02 MB |
23. Building a Boltzmann Machine/16. Building a Boltzmann Machine - Step 12.mp4 | 30.95 MB |
19. Building a SOM/2. Building a SOM - Step 1.mp4 | 30.67 MB |
4. Building an ANN/9. Building an ANN - Step 5.mp4 | 29.58 MB |
3. ANN Intuition/2. The Neuron.mp4 | 29.57 MB |
9. CNN Intuition/3. What are convolutional neural networks.mp4 | 29.5 MB |
15. Building a RNN/13. Building a RNN - Step 11.mp4 | 29.29 MB |
23. Building a Boltzmann Machine/12. Building a Boltzmann Machine - Step 8.mp4 | 29.2 MB |
28. Regression & Classification Intuition/5. Logistic Regression Intuition.mp4 | 29.17 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 | 28.29 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 |
3. ANN Intuition/5. How do Neural Networks learn.mp4 | 26.55 MB |
15. Building a RNN/7. Building a RNN - Step 5.mp4 | 26.22 MB |
26. Building an AutoEncoder/4. Building an AutoEncoder - Step 1.mp4 | 26.04 MB |
18. SOMs Intuition/5. How do Self-Organizing Maps Learn (Part 1).mp4 | 25.08 MB |
22. Boltzmann Machine Intuition/2. Boltzmann Machine.mp4 | 25.01 MB |