GANs in Action
Deep learning with Generative Adversarial Networks
- 240 Seiten
- English
- ePUB (handyfreundlich)
- Über iOS und Android verfügbar
GANs in Action
Deep learning with Generative Adversarial Networks
Über dieses Buch
Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks' one that generates content and the other that rejects samples that are of poor quality. GANs in Action: Deep learning with Generative Adversarial Networks teaches you how to build and train your own generative adversarial networks. First, you'll get an introduction to generative modelling and how GANs work, along with an overview of their potential uses. Then, you'll start building your own simple adversarial system, as you explore the foundation of GAN architecture: the generator and discriminator networks.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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Inhaltsverzeichnis
- GANs in Action: Deep learning with Generative Adversarial Networks
- Copyright
- Dedication
- Brief Table of Contents
- Table of Contents
- front matter
- Part 1. Introduction to GANs and generative modeling
- Chapter 1. Introduction to GANs
- Chapter 2. Intro to generative modeling with autoencoders
- Chapter 3. Your first GAN: Generating handwritten digits
- Chapter 4. Deep Convolutional GAN
- Part 2. Advanced topics in GANs
- Chapter 5. Training and common challenges: GANing for success
- Chapter 6. Progressing with GANs
- Chapter 7. Semi-Supervised GAN
- Chapter 8. Conditional GAN
- Chapter 9. CycleGAN
- Part 3. Where to go from here
- Chapter 10. Adversarial examples
- Chapter 11. Practical applications of GANs
- Chapter 12. Looking ahead
- Training Generative Adversarial Networks (GANs)
- Index
- List of Figures
- List of Tables
- List of Listings