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[ ] Udemy - Introduction to Generative Adversarial Networks with PyTorch

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  1. ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/3. Implement Progressive GANs on Celebs Dataset.mp4 308MB
  2. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/3. Implement Conditional GAN on MNIST Dataset.mp4 259MB
  3. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/7. Implement Wasserstein Loss Function.mp4 223MB
  4. ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/3. Implement DC-GAN on UC Birds Dataset.mp4 152MB
  5. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/9. [Coding Exercise] GAN Evaluation Metrics Inception Score.mp4 128MB
  6. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/7. Implement Vanilla GAN on MNIST Dataset to Generate Digits.mp4 123MB
  7. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/10. [Coding Exercise] GAN Evaluation Metrics FID Score.mp4 121MB
  8. ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/7. Implement multi-way loss with Auxiliary-GAN on UC Birds Dataset.mp4 120MB
  9. ~Get Your Files Here !/7. Generate Videos from Other Videos/7. [Coding Exercise] Hands-on CycleGAN.mp4 113MB
  10. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/9. [Coding Exercise] Gradient Penalty Wasserstein GAN - GP-WGAN.mp4 98MB
  11. ~Get Your Files Here !/1. Course Agenda/1. Course Agenda.mp4 92MB
  12. ~Get Your Files Here !/2. Introduction to PyTorch for GANs/6. PyTorch Custom Loss Function.mp4 90MB
  13. ~Get Your Files Here !/2. Introduction to PyTorch for GANs/2. PyTorch Forward and Backward Propagation.mp4 76MB
  14. ~Get Your Files Here !/7. Generate Videos from Other Videos/5. [Coding Exercise] Hands-on Pix2Pix GAN.mp4 70MB
  15. ~Get Your Files Here !/7. Generate Videos from Other Videos/3. Working of Pix2Pix GAN and CycleGAN.mp4 67MB
  16. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/5. Implementing GAN Training Methodology.mp4 64MB
  17. ~Get Your Files Here !/7. Generate Videos from Other Videos/11. Diving Deeper into Vid2Vid GAN using YouTube Dance Video Dataset.mp4 42MB
  18. ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/1. Introduction to DC-GANs.mp4 34MB
  19. ~Get Your Files Here !/2. Introduction to PyTorch for GANs/4. PyTorch Autograd Mechanism.mp4 31MB
  20. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/5. Working of Wasserstein Loss Function.mp4 31MB
  21. ~Get Your Files Here !/7. Generate Videos from Other Videos/1. Introduction to U-NET Architecture.mp4 28MB
  22. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/1. Introduction to GANs.mp4 27MB
  23. ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/5. Working of Multi-way Loss Function.mp4 25MB
  24. ~Get Your Files Here !/7. Generate Videos from Other Videos/9. Working of Vid2Vid GAN.mp4 23MB
  25. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/1. Introduction to Conditional GANs.mp4 14MB
  26. ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/1. Introduction to Progressive GANs.mp4 12MB
  27. ~Get Your Files Here !/7. Generate Videos from Other Videos/13. Conclusion, Next Steps, and Future Directions.mp4 9MB
  28. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/3. Working of GAN Loss Function.mp4 9MB
  29. ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/5. Hints, Tips, and Tricks for GAN Training.mp4 8MB
  30. ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/Section 5 - Lecture 2.ipynb 5MB
  31. ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/Section 4 - Lecture 2.ipynb 3MB
  32. ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/Section 4 - Lecture 4.ipynb 403KB
  33. ~Get Your Files Here !/7. Generate Videos from Other Videos/Section_6_CycleGAN.ipynb 261KB
  34. ~Get Your Files Here !/7. Generate Videos from Other Videos/Section_6_Pix2Pix_GAN.ipynb 225KB
  35. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/Section 3 - Lecture 2 - FashionMNIST Excercise.ipynb 108KB
  36. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/Section 3 - Lecture 2.ipynb 93KB
  37. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/Section_3_Lecture_5_GP_WGAN.ipynb 90KB
  38. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/[Coding_Exercise]_GAN_Evaluation_Metrics_FID_Score.ipynb 66KB
  39. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/Section 3 - Lecture 4.ipynb 45KB
  40. ~Get Your Files Here !/2. Introduction to PyTorch for GANs/Section 1.ipynb 40KB
  41. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/7. Implement Wasserstein Loss Function.srt 39KB
  42. ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/3. Implement Progressive GANs on Celebs Dataset.srt 38KB
  43. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/[Coding_Exercise]_GAN_Evaluation_Metrics_Inception_Score.ipynb 38KB
  44. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/3. Implement Conditional GAN on MNIST Dataset.srt 36KB
  45. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/Section 3 - Bonus - Learning Rate Decay.ipynb 31KB
  46. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/Section 2.ipynb 28KB
  47. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/Section 2 - Exercise.ipynb 24KB
  48. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/7. Implement Vanilla GAN on MNIST Dataset to Generate Digits.srt 22KB
  49. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/9. [Coding Exercise] Gradient Penalty Wasserstein GAN - GP-WGAN.srt 22KB
  50. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/9. [Coding Exercise] GAN Evaluation Metrics Inception Score.srt 20KB
  51. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/10. [Coding Exercise] GAN Evaluation Metrics FID Score.srt 20KB
  52. ~Get Your Files Here !/2. Introduction to PyTorch for GANs/6. PyTorch Custom Loss Function.srt 19KB
  53. ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/3. Implement DC-GAN on UC Birds Dataset.srt 17KB
  54. ~Get Your Files Here !/7. Generate Videos from Other Videos/7. [Coding Exercise] Hands-on CycleGAN.srt 15KB
  55. ~Get Your Files Here !/2. Introduction to PyTorch for GANs/2. PyTorch Forward and Backward Propagation.srt 15KB
  56. ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/7. Implement multi-way loss with Auxiliary-GAN on UC Birds Dataset.srt 14KB
  57. ~Get Your Files Here !/7. Generate Videos from Other Videos/3. Working of Pix2Pix GAN and CycleGAN.srt 14KB
  58. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/5. Working of Wasserstein Loss Function.srt 12KB
  59. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/5. Implementing GAN Training Methodology.srt 10KB
  60. ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/1. Introduction to DC-GANs.srt 10KB
  61. ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/5. Working of Multi-way Loss Function.srt 10KB
  62. ~Get Your Files Here !/7. Generate Videos from Other Videos/1. Introduction to U-NET Architecture.srt 10KB
  63. ~Get Your Files Here !/2. Introduction to PyTorch for GANs/4. PyTorch Autograd Mechanism.srt 9KB
  64. ~Get Your Files Here !/7. Generate Videos from Other Videos/5. [Coding Exercise] Hands-on Pix2Pix GAN.srt 9KB
  65. ~Get Your Files Here !/1. Course Agenda/1. Course Agenda.srt 9KB
  66. ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/1. Introduction to Progressive GANs.srt 9KB
  67. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/3. Working of GAN Loss Function.srt 7KB
  68. ~Get Your Files Here !/7. Generate Videos from Other Videos/9. Working of Vid2Vid GAN.srt 7KB
  69. ~Get Your Files Here !/8. Appendix Interesting Readings/2. MaskGAN Towards Diverse and Interactive Facial Image Manipulation.html 7KB
  70. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/1. Introduction to Conditional GANs.srt 6KB
  71. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/1. Introduction to GANs.srt 6KB
  72. ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/5. Hints, Tips, and Tricks for GAN Training.srt 6KB
  73. ~Get Your Files Here !/8. Appendix Interesting Readings/1. LeakGAN Long Text Generation via Adversarial Training with Leaked Information.html 6KB
  74. ~Get Your Files Here !/7. Generate Videos from Other Videos/11. Diving Deeper into Vid2Vid GAN using YouTube Dance Video Dataset.srt 5KB
  75. ~Get Your Files Here !/8. Appendix Interesting Readings/4. GraphGAN Graph Representation Learning with Generative Adversarial Nets.html 5KB
  76. ~Get Your Files Here !/8. Appendix Interesting Readings/3. MGAN Markovian Generative Adversarial Networks.html 4KB
  77. ~Get Your Files Here !/7. Generate Videos from Other Videos/13. Conclusion, Next Steps, and Future Directions.srt 3KB
  78. ~Get Your Files Here !/2. Introduction to PyTorch for GANs/1. Notebook Versioning Notice.html 1KB
  79. ~Get Your Files Here !/Bonus Resources.txt 386B
  80. ~Get Your Files Here !/2. Introduction to PyTorch for GANs/3. PyTorch Forward and Backward Propagation.html 215B
  81. ~Get Your Files Here !/2. Introduction to PyTorch for GANs/5. PyTorch Autograd Mechanism.html 215B
  82. ~Get Your Files Here !/2. Introduction to PyTorch for GANs/7. PyTorch Custom Loss Function.html 215B
  83. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/11. GAN Evaluation Metrics.html 215B
  84. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/2. Introduction to GANs.html 215B
  85. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/4. Working of GAN Loss Function.html 215B
  86. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/6. Implementing GAN Training Methodology.html 215B
  87. ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/8. Implement Vanilla GAN on MNIST Dataset to Generate Digits.html 215B
  88. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/10. [Coding Exercise] Gradient Penalty Wasserstein GAN - GP-WGAN.html 215B
  89. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/2. Introduction to Conditional GANs.html 215B
  90. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/4. Implement Conditional GAN on MNIST Dataset.html 215B
  91. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/6. Working of Wasserstein Loss Function.html 215B
  92. ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/8. Implement Wasserstein Loss Function.html 215B
  93. ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/2. Introduction to DC-GANs.html 215B
  94. ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/4. Implement DC-GAN on UC Birds Dataset.html 215B
  95. ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/6. Working of Multi-way Loss Function.html 215B
  96. ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/8. Implement multi-way loss with Auxiliary-GAN on UC Birds Dataset.html 215B
  97. ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/2. Introduction to Progressive GANs.html 215B
  98. ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/4. Implement Progressive GANs on Celebs Dataset.html 215B
  99. ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/6. Hints, Tips, and Tricks for GAN Training.html 215B
  100. ~Get Your Files Here !/7. Generate Videos from Other Videos/10. Working of Vid2Vid GAN.html 215B
  101. ~Get Your Files Here !/7. Generate Videos from Other Videos/12. Diving Deeper into Vid2Vid GAN using YouTube Dance Video Dataset.html 215B
  102. ~Get Your Files Here !/7. Generate Videos from Other Videos/14. Conclusion, Next Steps, and Future Directions.html 215B
  103. ~Get Your Files Here !/7. Generate Videos from Other Videos/2. Introduction to U-NET Architecture.html 215B
  104. ~Get Your Files Here !/7. Generate Videos from Other Videos/4. Working of Pix2Pix GAN and CycleGAN.html 215B
  105. ~Get Your Files Here !/7. Generate Videos from Other Videos/6. [Coding Exercise] Hands-on Pix2Pix GAN.html 215B
  106. ~Get Your Files Here !/7. Generate Videos from Other Videos/8. [Coding Exercise] Hands-on CycleGAN.html 215B
  107. Get Bonus Downloads Here.url 182B
  108. ~Get Your Files Here !/2. Introduction to PyTorch for GANs/4.1 Revised source code for section 1.html 146B
  109. ~Get Your Files Here !/2. Introduction to PyTorch for GANs/2.3 Slack Channel Inactive.html 127B
  110. ~Get Your Files Here !/2. Introduction to PyTorch for GANs/6.1 Code Errata.html 127B
  111. ~Get Your Files Here !/2. Introduction to PyTorch for GANs/6.2 Reading Assignment On Loss Functions for Deep Neural Networks in Classification Katarzyna Janocha, Wojciech Marian Czarnecki.html 93B
  112. ~Get Your Files Here !/8. Appendix Interesting Readings/1.1 Arxiv Paper.html 93B
  113. ~Get Your Files Here !/8. Appendix Interesting Readings/2.1 Arxiv Paper.html 93B
  114. ~Get Your Files Here !/8. Appendix Interesting Readings/3.1 Arxiv Paper.html 93B
  115. ~Get Your Files Here !/8. Appendix Interesting Readings/4.1 Arxiv Paper.html 93B
  116. ~Get Your Files Here !/2. Introduction to PyTorch for GANs/2.1 Course Discussions Channel on Slack.html 83B