Hands-On Image Generation with TensorFlow

By Soon Yau Cheong
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    Chapter 1: Getting Started with Image Generation Using TensorFlow
About this book

The emerging field of Generative Adversarial Networks (GANs) has made it possible to generate indistinguishable images from existing datasets. With this hands-on book, you’ll not only develop image generation skills but also gain a solid understanding of the underlying principles.

Starting with an introduction to the fundamentals of image generation using TensorFlow, this book covers Variational Autoencoders (VAEs) and GANs. You’ll discover how to build models for different applications as you get to grips with performing face swaps using deepfakes, neural style transfer, image-to-image translation, turning simple images into photorealistic images, and much more. You’ll also understand how and why to construct state-of-the-art deep neural networks using advanced techniques such as spectral normalization and self-attention layer before working with advanced models for face generation and editing. You'll also be introduced to photo restoration, text-to-image synthesis, video retargeting, and neural rendering. Throughout the book, you’ll learn to implement models from scratch in TensorFlow 2.x, including PixelCNN, VAE, DCGAN, WGAN, pix2pix, CycleGAN, StyleGAN, GauGAN, and BigGAN.

By the end of this book, you'll be well versed in TensorFlow and be able to implement image generative technologies confidently.

Publication date:
December 2020
Publisher
Packt
Pages
306
ISBN
9781838826789

 

Section 1: Fundamentals of Image Generation with TensorFlow

This section will introduce you to the fundamentals of image generation using TensorFlow, including probabilistic models, autoencoders, and GANs. By the end of this section, you will have a solid understanding of the principles of image generation using deep neural networks.

This section comprises the following chapters:

  • Chapter 1, Getting Started with Image Generation Using TensorFlow
  • Chapter 2, Variational Autoencoder
  • Chapter 3, Generative Adversarial Network
About the Author
  • Soon Yau Cheong

    Soon Yau Cheong is an AI consultant and the founder of Sooner.ai Ltd. With a history of being associated with industry giants such as NVIDIA and Qualcomm, he provides consultation in the various domains of AI, such as deep learning, computer vision, natural language processing, and big data analytics. He was awarded a full scholarship to study for his PhD at the University of Bristol while working as a teaching assistant. He is also a mentor for AI courses with Udacity.

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Hands-On Image Generation with TensorFlow
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