Generative deep learning : (Record no. 199992)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02089nam a22002657a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260520130300.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260520b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789365897388 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 FOS-G |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Foster, David |
| 245 ## - TITLE STATEMENT | |
| Title | Generative deep learning : |
| Remainder of title | teaching machines to paint, write, compose, and play |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Mumbai |
| Name of publisher | SPD Shroff Publishers & Distributors Pvt. Ltd. |
| Year of publication | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxvi, 426p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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, normalising 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/>This book also explores the future of generative AI and how individuals and companies can proactively leverage this remarkable new technology to gain a competitive advantage. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Artificial intelligence. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Generative AI. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Deep learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Neural networks |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books and Monographs |
| Full call number | Accession Number | Koha item type | Lost status | Damaged status | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition |
|---|---|---|---|---|---|---|---|---|---|
| 006.31 FOS-G | 102796 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises | ||
| 006.31 FOS-G | 102797 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises | ||
| 006.31 FOS-G | 102798 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises | ||
| 006.31 FOS-G | 102799 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises | ||
| 006.31 FOS-G | 102800 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises |