Generative Deep Learning Teaching Machines to Paint Write Compose and Play (Record no. 814569)

MARC details
000 -LEADER
fixed length control field 02292nam a22002657a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240115s2023 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781098134181
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L 9781098134181
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number FOS
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Foster, David
9 (RLIN) 706688
Relator term author
245 ## - TITLE STATEMENT
Title Generative Deep Learning Teaching Machines to Paint Write Compose and Play
250 ## - EDITION STATEMENT
Edition statement 2nd
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Beijing :
Name of publisher, distributor, etc. O'Reilly,
Date of publication, distribution, etc. c2023
300 ## - PHYSICAL DESCRIPTION
Extent xxvi, 426 p.
Other physical details : ill
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Bibliographical References and Index
520 ## - SUMMARY, ETC.
Summary, etc. SUMMARY<br/><br/>Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.<br/><br/>The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative.<br/><br/> Discover how VAEs can change facial expressions in photos<br/> Train GANs to generate images based on your own dataset<br/> Build diffusion models to produce new varieties of flowers<br/> Train your own GPT for text generation<br/> Learn how large language models like ChatGPT are trained<br/> Explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN<br/> Compose polyphonic music using Transformers and MuseGAN<br/> Understand how generative world models can solve reinforcement learning tasks<br/> Dive into multimodal models such as DALL.E 2, Imagen, and Stable Diffusion<br/><br/>This book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 152691
Topical term or geographic name entry element Neural Networks Computer Science
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 845
Topical term or geographic name entry element Machine Learning
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 151655
Topical term or geographic name entry element Artificial Intelligence
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term forwarded
Personal name Friston, Karl
9 (RLIN) 879933
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text TOC
Uniform Resource Identifier <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781098134181.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781098134181.pdf</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text WEB LINK
Uniform Resource Identifier <a href="https://www.oreilly.com/library/view/generative-deep-learning/9781098134174/">https://www.oreilly.com/library/view/generative-deep-learning/9781098134174/</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Physical Form Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Stock Type Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last checked out Budget Year Cost, replacement price Accession Date Koha item type
    Dewey Decimal Classification Text, Paperback     Reference Section Reference Section Reference Section 09/01/2024 39 Purchased 23221.82 1 006.31 FOS 98572 15/05/2024 15/05/2024 2023-2024 23221.81 09/01/2024 Reference Collection