[DesireCourse.Net] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks

1. 1. Welcome to the course/1. Updates on Udemy Reviews.mp461.15 MB
2. 6. Evaluating, Improving and Tuning the ANN/1. Evaluating the ANN.mp455.84 MB
3. 14. RNN Intuition/6. Practical intuition.mp452.84 MB
4. 26. Building an AutoEncoder/16. THANK YOU bonus video.mp452.3 MB
5. 6. Evaluating, Improving and Tuning the ANN/3. Tuning the ANN.mp450.76 MB
6. 26. Building an AutoEncoder/8. Building an AutoEncoder - Step 4.mp449.56 MB
7. 10. Building a CNN/12. Building a CNN - Step 9.mp446.87 MB
8. 14. RNN Intuition/5. LSTMs.mp445.97 MB
9. 4. Building an ANN/6. Building an ANN - Step 2.mp445.86 MB
10. 23. Building a Boltzmann Machine/8. Building a Boltzmann Machine - Step 4.mp445.64 MB
11. 18. SOMs Intuition/8. Reading an Advanced SOM.mp443.18 MB
12. 23. Building a Boltzmann Machine/17. Building a Boltzmann Machine - Step 13.mp442.97 MB
13. 9. CNN Intuition/8. Step 4 - Full Connection.mp442.74 MB
14. 30. Classification Template/5. Logistic Regression Implementation - Step 5.mp442.48 MB
15. 11. Homework - What's that pet/2. Homework Solution.mp440.97 MB
16. 23. Building a Boltzmann Machine/18. Building a Boltzmann Machine - Step 14.mp440.43 MB
17. 9. CNN Intuition/6. Step 2 - Pooling.mp440.25 MB
18. 15. Building a RNN/15. Building a RNN - Step 13.mp439.86 MB
19. 26. Building an AutoEncoder/10. Building an AutoEncoder - Step 6.mp437.92 MB
20. 5. Homework Challenge - Should we say goodbye to that customer/2. Homework Solution.mp437.62 MB
21. 14. RNN Intuition/3. The idea behind Recurrent Neural Networks.mp437.3 MB
22. 15. Building a RNN/6. Building a RNN - Step 4.mp437.11 MB
23. 19. Building a SOM/4. Building a SOM - Step 3.mp436.03 MB
24. 20. Mega Case Study/3. Mega Case Study - Step 3.mp435.2 MB
25. 26. Building an AutoEncoder/12. Building an AutoEncoder - Step 8.mp433.83 MB
26. 26. Building an AutoEncoder/11. Building an AutoEncoder - Step 7.mp433.7 MB
27. 9. CNN Intuition/10. Softmax & Cross-Entropy.mp433.24 MB
28. 22. Boltzmann Machine Intuition/5. Restricted Boltzmann Machine.mp431.89 MB
29. 26. Building an AutoEncoder/13. Building an AutoEncoder - Step 9.mp431.61 MB
30. 1. Welcome to the course/2. What is Deep Learning.mp431.31 MB
31. 9. CNN Intuition/4. Step 1 - Convolution Operation.mp431.02 MB
32. 23. Building a Boltzmann Machine/16. Building a Boltzmann Machine - Step 12.mp430.95 MB
33. 19. Building a SOM/2. Building a SOM - Step 1.mp430.67 MB
34. 4. Building an ANN/9. Building an ANN - Step 5.mp429.58 MB
35. 3. ANN Intuition/2. The Neuron.mp429.57 MB
36. 9. CNN Intuition/3. What are convolutional neural networks.mp429.5 MB
37. 15. Building a RNN/13. Building a RNN - Step 11.mp429.29 MB
38. 23. Building a Boltzmann Machine/12. Building a Boltzmann Machine - Step 8.mp429.2 MB
39. 28. Regression & Classification Intuition/5. Logistic Regression Intuition.mp429.17 MB
40. 14. RNN Intuition/4. The Vanishing Gradient Problem.mp429.01 MB
41. 29. Data Preprocessing Template/4. Data Preprocessing - Step 4.mp428.95 MB
42. 19. Building a SOM/5. Building a SOM - Step 4.mp428.73 MB
43. 26. Building an AutoEncoder/15. Building an AutoEncoder - Step 11.mp428.29 MB
44. 26. Building an AutoEncoder/5. Building an AutoEncoder - Step 2.mp427.81 MB
45. 10. Building a CNN/7. Building a CNN - Step 4.mp427.2 MB
46. 3. ANN Intuition/5. How do Neural Networks learn.mp426.55 MB
47. 15. Building a RNN/7. Building a RNN - Step 5.mp426.22 MB
48. 26. Building an AutoEncoder/4. Building an AutoEncoder - Step 1.mp426.04 MB
49. 18. SOMs Intuition/5. How do Self-Organizing Maps Learn (Part 1).mp425.08 MB
50. 22. Boltzmann Machine Intuition/2. Boltzmann Machine.mp425.01 MB