GANs in Action: Deep learning with Generative Adversarial Networks
Key features
- •Building your first GAN
- •Handling the progressive growing of GANs
- •Practical applications of GANs
- •Troubleshooting your system
- •Introduction to GANs
- •Intro to generative modeling with autoencoders
- •Your first GAN: Generating handwritten digits
- •Deep Convolutional GAN
- •Training and common challenges: GANing for success
- •Progressing with GANs
- •Semi-Supervised GAN
- •Conditional GAN
- •CycleGANPART 3 - WHERE TO GO FROM HERE
- •Adversarial examples
- •Practical applications of GANs
- •Looking ahead
BrandManning Publications
CategoryIntelligence & Semantics
GANs in Action: Deep learning with Generative Adversarial Networks
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