You're reading from Hands-On Image Generation with TensorFlow

Product typeBook

Published inDec 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781838826789

Edition1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Computer Vision

Author (1)

Soon Yau Cheong

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

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Hands-On Image Generation with TensorFlow

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Author (1)

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.
Read more about Soon Yau Cheong

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