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[OREILLY] GANs in Action video edition (2019) [EN]

  • 收录时间:2022-05-18 21:38:15
  • 文件大小:1GB
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文件列表

  1. Chapter 12. BigGAN.ts 43MB
  2. Chapter 5. Training and common challenges GANing for success.ts 39MB
  3. Chapter 5. Summary of game setups.ts 34MB
  4. Chapter 10. Adversarial examples.ts 34MB
  5. Chapter 11. Creating new items matching individual preferences.ts 33MB
  6. Chapter 2. Intro to generative modeling with autoencoders.ts 33MB
  7. Chapter 1. Introduction to GANs.ts 32MB
  8. Chapter 3. Your first GAN Generating handwritten digits.ts 32MB
  9. Chapter 11. Practical applications of GANs.ts 31MB
  10. Chapter 11. Methodology.ts 30MB
  11. Chapter 6. They grow up so fast.ts 30MB
  12. Chapter 10. Not all hope is lost.ts 29MB
  13. Chapter 12. GAN innovations.ts 29MB
  14. Chapter 5. Wasserstein GAN.ts 28MB
  15. Chapter 2. Code is life.ts 28MB
  16. Chapter 4. Implementing the Generator.ts 28MB
  17. Chapter 2. What are autoencoders to GANs.ts 27MB
  18. Chapter 10. Use and abuse of training.ts 27MB
  19. Chapter 12. Looking ahead.ts 26MB
  20. Chapter 9. Object-oriented design of GANs.ts 26MB
  21. Chapter 9. CycleGAN.ts 26MB
  22. Chapter 5. Min-Max GAN.ts 25MB
  23. Chapter 1. GANs in action.ts 25MB
  24. Chapter 4. Deep Convolutional GAN.ts 25MB
  25. Chapter 2. Unsupervised learning.ts 24MB
  26. Chapter 6. Equalized learning rate.ts 24MB
  27. Chapter 2. Why did we try aGAN.ts 24MB
  28. Chapter 7. Semi-Supervised GAN.ts 24MB
  29. Chapter 3. The Generator and the Discriminator.ts 24MB
  30. Chapter 8. Conditional GAN.ts 24MB
  31. Chapter 6. Summary of key innovations.ts 23MB
  32. Chapter 9. Architecture.ts 22MB
  33. Chapter 6. Progressing with GANs.ts 22MB
  34. Chapter 3. Implementing the Discriminator.ts 22MB
  35. Chapter 5. Training challenges.ts 22MB
  36. Chapter 4. Batch normalization.ts 21MB
  37. Chapter 5. Inception score.ts 21MB
  38. Chapter 9. Training the CycleGAN.ts 21MB
  39. Chapter 1. Why study GANs.ts 20MB
  40. Chapter 7. Tutorial Implementing a Semi-Supervised GAN.ts 19MB
  41. Chapter 8. Building the model.ts 19MB
  42. Chapter 8. Tutorial Implementing a Conditional GAN.ts 18MB
  43. Chapter 7. Building the model.ts 15MB
  44. Chapter 7. What is a Semi-Supervised GAN.ts 15MB
  45. Part 2. Advanced topics in GANs.ts 5MB
  46. Part 1. Introduction to GANs and generative modeling.ts 5MB
  47. Part 3. Where to go from here.ts 3MB