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Master GANs from Scratch: Implement 11 Game-Changing Models

سرفصل های دوره

From Theory to Application: The Ultimate Beginner’s Guide to Mastering GANs Hands-On with PyTorch


1 - Introduction
  • 1 -Introduction

  • 2 - Generative Adversarial Networks
  • 1 -Paper review
  • 2 -Implementation from scratch Generator and Discriminator
  • 3 -Implementation from scratch Training loop
  • 4 -Implementation from scratch Better gradient signal for the Generator
  • 5 -Implementation from scratch Helpers
  • 6 -Implementation from scratch Main
  • 7 -Implementation from scratch Results
  • 8 -Final code walk-through

  • 3 - Conditional Generative Adversarial Nets
  • 1 -Paper review
  • 2 -Implementation from scratch Generator and Discriminator
  • 3 -Implementation from scratch Helpers
  • 4 -Implementation from scratch Schedulers
  • 5 -Implementation from scratch Results
  • 6 -Final code walk-through

  • 4 - Unsupervised Representation Learning with Deep Convolutional Generative Adversar
  • 1 -Paper review
  • 2 -Implementation from scratch Generator
  • 3 -Implementation from scratch Discriminator
  • 4 -Implementation from scratch Dataset part1
  • 5 -Implementation from scratch Dataset part2
  • 6 -Implementation from scratch DataLoader
  • 7 -Implementation from scratch Weight initialization
  • 8 -Implementation from scratch Training loop
  • 9 -Implementation from scratch Main
  • 10 -Implementation from scratch Results after 1 epoch
  • 11 -Implementation from scratch Results after 5 epoch
  • 12 -Final code walk-through

  • 5 - Improved Techniques for Training GANs
  • 1 -Paper review
  • 2 -Paper review results
  • 3 -Paper review semi-supervised learning
  • 4 -Implementation from scratch Generator
  • 5 -Implementation from scratch Discriminator
  • 6 -Implementation from scratch Training loop part1
  • 7 -Implementation from scratch Training loop part2
  • 8 -Implementation from scratch The Log-Sum-Exp Trick
  • 9 -Implementation from scratch Training loop part3
  • 10 -Implementation from scratch Training loop part4
  • 11 -Implementation from scratch Testing
  • 12 -Implementation from scratch Helpers
  • 13 -Implementation from scratch Main part1
  • 14 -Implementation from scratch Main part2
  • 15 -Implementation from scratch Results
  • 16 -Final code walk-through

  • 6 - Least Squares Generative Adversarial Networks
  • 1 -Paper review
  • 2 -Implementation from scratch Generator
  • 3 -Implementation from scratch Discriminator
  • 4 -Implementation from scratch Training loop
  • 5 -Implementation from scratch Helpers part1
  • 6 -Implementation from scratch Helpers part2
  • 7 -Implementation from scratch Helpers part3
  • 8 -Implementation from scratch Helpers part4
  • 9 -Implementation from scratch Results part1
  • 10 -Implementation from scratch Results part2
  • 11 -Final code walk-through

  • 7 - Image-to-Image Translation with Conditional Adversarial Networks
  • 1 -Paper review
  • 2 -Implementation from scratch Generator part1
  • 3 -Implementation from scratch Generator part2
  • 4 -Implementation from scratch PatchGAN
  • 5 -Implementation from scratch PatchGAN part2
  • 6 -Implementation from scratch Training loop
  • 7 -Implementation from scratch Dataset
  • 8 -Implementation from scratch Dataloader
  • 9 -Implementation from scratch Weight initialization
  • 10 -Implementation from scratch Main part1
  • 11 -Implementation from scratch Main part2
  • 12 -Implementation from scratch Results
  • 13 -Final code walk-through

  • 8 - Wasserstein GAN
  • 1 -Paper review
  • 2 -Implementation from scratch Generator
  • 3 -Implementation from scratch Discriminator
  • 4 -Implementation from scratch Training loop part1
  • 5 -Implementation from scratch Training loop part2
  • 6 -Implementation from scratch Main
  • 7 -Implementation from scratch Results
  • 8 -Final code walk-through

  • 9 - Improved Training of Wasserstein GANs
  • 1 -Paper review
  • 2 -Implementation from scratch Generator part1
  • 3 -Implementation from scratch Generator part2
  • 4 -Implementation from scratch Discriminator part1
  • 5 -Implementation from scratch Discriminator part2
  • 6 -Implementation from scratch Training loop
  • 7 -Implementation from scratch Main
  • 8 -Implementation from scratch Results
  • 9 -Final code walk-through

  • 10 - Adversarially Learned Inference
  • 1 -Paper review
  • 2 -Implementation from scratch Generator Inference Network
  • 3 -Implementation from scratch Generator Generation Network
  • 4 -Implementation from scratch Discriminator
  • 5 -Implementation from scratch Training loop
  • 6 -Implementation from scratch Helpers
  • 7 -Implementation from scratch Main
  • 8 -Implementation from scratch Results
  • 9 -Final code walk-through

  • 11 - Adversarial Feature Learning
  • 1 -Paper review
  • 2 -Implementation from scratch Generator Generation Network
  • 3 -Implementation from scratch Generator Inference Network
  • 4 -Implementation from scratch Discriminator
  • 5 -Implementation from scratch Training loop
  • 6 -Implementation from scratch Main
  • 7 -Implementation from scratch Results
  • 8 -Final code walk-through

  • 12 - Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
  • 1 -Paper review
  • 2 -Implementation from scratch Generator part1
  • 3 -Implementation from scratch Generator part2
  • 4 -Implementation from scratch Generator part3
  • 5 -Implementation from scratch Discriminator
  • 6 -Implementation from scratch Training loop part1
  • 7 -Implementation from scratch Training loop part2
  • 8 -Implementation from scratch Dataset part1
  • 9 -Implementation from scratch Dataset part2
  • 10 -Implementation from scratch Buffer
  • 11 -Implementation from scratch Main
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    تاریخ انتشار: ۸ دی ۱۴۰۳
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