Hands-On Image Generation with TensorFlow
This book is a step-by-step guide to show you how to implement generative models in TensorFlow 2.x from scratch. You’ll get to grips with the image generative technology by covering autoencoders, style transfer, and GANs as well as fundamental and state-of-the-art models.
Offered by
Difficulty Level
Intermediate
Completion Time
10h12m
Language
English
About Book
Who Is This Book For?
The Hands-On Image Generation with TensorFlow book is for deep learning engineers, practitioners, and researchers who have basic knowledge of convolutional neural networks and want to learn various image generation techniques using TensorFlow 2.x. You’ll also find this book useful if you are an image processing professional or computer vision engineer looking to explore state-of-the-art architectures to improve and enhance images and videos. Knowledge of Python and TensorFlow will help you to get the best out of this book.
Hands-On Image Generation with TensorFlow
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h12m total length
Getting started with Image generation with TensorFlow
Variational Autoencoder
Generative Adversarial Network
Image-to-Image Translation
Style Transfer
AI Painter
High Fidelity Face Generation
Self-Attention for Image Generation
Video Synthesis
Road Ahead
Related Resources
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