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Udemy Generative AI with Python Core Concepts and Coding Exam

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Type: Tutorials
Language: English
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Size: 3.3 GB
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Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. 1 - Introduction.mp4 36.8 MB
  3. 2 - GenAI-AI Introduction.mp4 52.7 MB
  4. 3 - Generative modeling.mp4 43.8 MB
  5. 4 - Our First Generative Model.mp4 64.5 MB
  6. 5 - Representative learning.mp4 65.9 MB
  7. 6 - Core Probability Theory.mp4 33.2 MB
  8. 7 - Basics of the Coding Environment.mp4 34.4 MB
  9. 8 - Git clone & Dockers.mp4 67.8 MB
  10. 9 - Setting up the IDE.mp4 96.3 MB
  11. 1 - Artificial Neural Networks.mp4 94.4 MB
  12. 2 - 11.txt 2.0 KB
  13. 2 - Multilayer Perceptron (MLP).mp4 262.6 MB
  14. 3 - 12.txt 2.3 KB
  15. 3 - Convolutional Neural Networks.mp4 211.3 MB
  16. 1 - 13.txt 5.4 KB
  17. 1 - Autoencoders.mp4 243.0 MB
  18. 10 - 22.txt 6.6 KB
  19. 10 - Energy-based Models.mp4 197.2 MB
  20. 11 - 23.txt 5.5 KB
  21. 11 - Diffusion Models.mp4 285.1 MB
  22. 12 - 24.txt 4.4 KB
  23. 12 - Project-1 MiniGPT.mp4 234.3 MB
  24. 13 - Project-2 Images Generation.mp4 98.2 MB
  25. 14 - Project-3 Realistic Images Generation.mp4 90.6 MB
  26. 2 - 14.txt 8.4 KB
  27. 2 - Variational Autoencoders.mp4 124.5 MB
  28. 3 - 15.txt 10.4 KB
  29. 3 - Generative Adversarial Networks 1 of 2.mp4 234.1 MB
  30. 4 - 16.txt 5.6 KB
  31. 4 - Generative Adversarial Networks 2 of 2.mp4 251.0 MB
  32. 5 - 17.txt 6.6 KB
  33. 5 - Conditional GAN.mp4 81.2 MB
  34. 6 - 18.txt 3.2 KB
  35. 6 - Autoregressive Models LSTM.mp4 192.1 MB
  36. 7 - 19.txt 1.9 KB
  37. 7 - RNN Extentions PixelCNN.mp4 99.0 MB
  38. 8 - Normalizing Flow Models-1.mp4 101.6 MB
  39. 9 - 21.txt 4.2 KB
  40. 9 - Normalizing Flow Models-2.mp4 115.7 MB
  41. Bonus Resources.txt 70 bytes

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