Generative Adversarial Networks Cookbook: Over 100 recipes to build generative models using Python, TensorFlow, and Keras (Record no. 51171)

MARC details
000 -LEADER
fixed length control field 01574 a2200193 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250822174848.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781789139907
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31 KAL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kalin, Josh
245 ## - TITLE STATEMENT
Title Generative Adversarial Networks Cookbook: Over 100 recipes to build generative models using Python, TensorFlow, and Keras
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Packt Publishing
Date of publication, distribution, etc 2018
Place of publication, distribution, etc Birmingham
300 ## - PHYSICAL DESCRIPTION
Extent 252
520 ## - SUMMARY, ETC.
Summary, etc Developing Generative Adversarial Networks (GANs) is a complex task, and it is often hard to find code that is easy to understand. This book leads you through eight different examples of modern GAN implementations, including CycleGAN, simGAN, DCGAN, and 2D image to 3D model generation. Each chapter contains useful recipes to build on a common architecture in Python, TensorFlow and Keras to explore increasingly difficult GAN architectures in an easy-to-read format. The book starts by covering the different types of GAN architecture to help you understand how the model works. This book also contains intuitive recipes to help you work with use cases involving DCGAN, Pix2Pix, and so on. To understand these complex applications, you will take different real-world data sets and put them to use. By the end of this book, you will be equipped to deal with the challenges and issues that you may face while working with GAN models, thanks to easy-to-follow code solutions that you can implement right away.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Generative Adversarial Networks
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Cookbook
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

No items available.