If you're a data scientist, ML developer, deep learning practitioner, or AI enthusiast looking for a project guide to test your knowledge and expertise in building real-world GANs models, this book is for you.
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Introduction to Generative Adversarial Networks
- 3D-GAN - Generating Shapes Using GANs
- Face Aging Using Conditional GAN
- Generating Anime Characters Using DCGANs
- Using SRGANs to Generate Photo-Realistic Images
- StackGAN - Text to Photo-Realistic Image Synthesis
- CycleGAN - Turn Paintings into Photos
- Conditional GAN - Image-to-Image Translation Using Conditional Adversarial Networks
- Predicting the Future of GANs
- Other Books You May Enjoy
Who this book is for
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