GAN generation against network combat course (PyTorch version) intensive lecture plus source code demonstration

Explain the basic principles of GAN and various common GANs, combine the principles of the paper, and demonstrate the code writing process in detail.

The outline is as follows:
Chapter 1 GAN Course Introduction
Chapter 2 GAN Basic Principles and Detailed Formulas
Chapter 3 Basic GAN
Chapter 4 DCGAN Chapter 5
Anime Character Avatar Generation Example
Chapter 6 CGAN (Conditional GAN)
Chapter 7 Pix2pixGAN
Chapter 8 SGAN (Semi-Supervised GAN)
Chapter 9 CycleGAN
Chapter 10 WGAN (Wasserstein GAN)
Chapter 11 GAN Evaluation Method

Link: https://pan.baidu.com/s/1KOZD9FLf4n8tSNj3W56y2A?pwd=3kal
Extraction code: 3kal

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Origin blog.csdn.net/qqerrr/article/details/127456738