Reviewing some presentations about Generative Adversarial Nets

Contents

1. Introduction

1. Taxonomy of ML
2. Unsupervised Learning & GANs
3. AutoEncoder & GANs

2. The Development of GANs

1. DCGANs
2. SGANs
3. ACGANs

3. Image translation of GANs

1. Cycle GANs
2. Star GANs

File link

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