Generative Adversarial Networks Projects

Generative Adversarial Networks Projects begins by covering the concepts, tools, and libraries that you will use to build efficient projects. You will also use a variety of datasets for the different projects covered in the book.

The level of complexity of the operations required increases with every chapter, helping you get to grips with using GANs. You will cover popular approaches such as 3D-GAN, DCGAN, StackGAN, and CycleGAN, and you’ll gain an understanding of the architecture and functioning of generative models through their practical implementation. (Limited-time offer)

Table of Contents

• 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

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