FreeCourseSite com Udemy - Deep Learning GANs and Variational Autoencoders

1. 1. Introduction and Outline/1. Welcome.mp44.09MB
2. 1. Introduction and Outline/2. Where does this course fit into your deep learning studies.mp43.93MB
3. 1. Introduction and Outline/3. Where to get the code and data.mp43.59MB
4. 1. Introduction and Outline/4. How to succeed in this course.mp44.82MB
5. 2. Generative Modeling Review/1. What does it mean to Sample.mp44.19MB
6. 2. Generative Modeling Review/2. Sampling Demo Bayes Classifier.mp44.15MB
7. 2. Generative Modeling Review/3. Gaussian Mixture Model Review.mp49.41MB
8. 2. Generative Modeling Review/4. Sampling Demo Bayes Classifier with GMM.mp44.34MB
9. 2. Generative Modeling Review/5. Why do we care about generating samples.mp416.55MB
10. 2. Generative Modeling Review/6. Neural Network and Autoencoder Review.mp49.22MB
11. 2. Generative Modeling Review/7. Tensorflow Warmup.mp45.26MB
12. 2. Generative Modeling Review/8. Theano Warmup.mp46.35MB
13. 3. Variational Autoencoders/1. Variational Autoencoders Section Introduction.mp44.93MB
14. 3. Variational Autoencoders/10. Theano Implementation.mp415.35MB
15. 3. Variational Autoencoders/11. Visualizing the Latent Space.mp43.58MB
16. 3. Variational Autoencoders/12. Bayesian Perspective.mp48.54MB
17. 3. Variational Autoencoders/13. Variational Autoencoder Section Summary.mp43.28MB
18. 3. Variational Autoencoders/2. Variational Autoencoder Architecture.mp44.63MB
19. 3. Variational Autoencoders/3. Parameterizing a Gaussian with a Neural Network.mp49.79MB
20. 3. Variational Autoencoders/4. The Latent Space, Predictive Distributions and Samples.mp44.02MB
21. 3. Variational Autoencoders/5. Cost Function.mp46.58MB
22. 3. Variational Autoencoders/6. Tensorflow Implementation (pt 1).mp434.02MB
23. 3. Variational Autoencoders/7. Tensorflow Implementation (pt 2).mp423.28MB
24. 3. Variational Autoencoders/8. Tensorflow Implementation (pt 3).mp414.05MB
25. 3. Variational Autoencoders/9. The Reparameterization Trick.mp44.02MB
26. 4. Generative Adversarial Networks (GANs)/1. GAN - Basic Principles.mp45.04MB
27. 4. Generative Adversarial Networks (GANs)/10. Theano Implementation.mp429.34MB
28. 4. Generative Adversarial Networks (GANs)/11. GAN Summary.mp48.74MB
29. 4. Generative Adversarial Networks (GANs)/2. GAN Cost Function (pt 1).mp46.18MB
30. 4. Generative Adversarial Networks (GANs)/3. GAN Cost Function (pt 2).mp427.43MB
31. 4. Generative Adversarial Networks (GANs)/4. DCGAN.mp49.52MB
32. 4. Generative Adversarial Networks (GANs)/5. Batch Normalization Review.mp46.82MB
33. 4. Generative Adversarial Networks (GANs)/6. Fractionally-Strided Convolution.mp47.41MB
34. 4. Generative Adversarial Networks (GANs)/7. Tensorflow Implementation Notes.mp412.08MB
35. 4. Generative Adversarial Networks (GANs)/8. Tensorflow Implementation.mp427.66MB
36. 4. Generative Adversarial Networks (GANs)/9. Theano Implementation Notes.mp46.62MB
37. 5. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp493.45MB
38. 5. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp487.02MB
39. 5. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp481.42MB
40. 5. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp497.3MB
41. 6. Appendix/1. What is the Appendix.mp45.46MB
42. 6. Appendix/10. Python 2 vs Python 3.mp47.84MB
43. 6. Appendix/11. Is Theano Dead.mp417.82MB
44. 6. Appendix/12. What order should I take your courses in (part 1).mp429.33MB
45. 6. Appendix/13. What order should I take your courses in (part 2).mp437.62MB
46. 6. Appendix/2. Windows-Focused Environment Setup 2018.mp4186.37MB
47. 6. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp427.28MB
48. 6. Appendix/4. How to Succeed in this Course (Long Version).mp412.99MB
49. 6. Appendix/5. How to Code by Yourself (part 1).mp413.64MB
50. 6. Appendix/6. How to Code by Yourself (part 2).mp48.65MB
51. 6. Appendix/7. Proof that using Jupyter Notebook is the same as not using it.mp478.27MB
52. 6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.96MB
53. 6. Appendix/9. Where to get discount coupons and FREE deep learning material.mp43.38MB