E-book details

Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras

Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras

Kailash Ahirwar

Ebook
Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in this field since it is one of the rapidly growing areas of machine learning. This book will test unsupervised techniques for training neural networks as you build seven end-to-end projects in the GAN domain.

Generative Adversarial Network 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.

By the end of this book, you will be ready to build, train, and optimize your own end-to-end GAN models at work or in your own projects.
  • 1. Introduction to Generative Adversarial Networks
  • 2. 3D-GAN - Generating Shapes Using GANs
  • 3. Face Aging Using Conditional GAN
  • 4. Generating Anime Characters Using DCGANs
  • 5. Using SRGANs to Generate Photo-Realistic Images
  • 6. StackGAN- Text to Photo-Realistic Image Synthesis
  • 7. CycleGAN- Turn Paintings into Photos
  • 8. Conditional GAN - Image-to-Image Translation Using Conditional Adversarial Networks
  • 9. Predicting the Future of GANs
  • Title: Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras
  • Author: Kailash Ahirwar
  • Original title: Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras
  • ISBN: 9781789134193, 9781789134193
  • Date of issue: 2019-01-31
  • Format: Ebook
  • Item ID: e_14p9
  • Publisher: Packt Publishing