Generative Deep Learning: (Record no. 40037)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01993nam a22002657a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20241204145108.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 241126b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789355429988 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | AKCL |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | FOS-G2 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Foster, David |
| 245 ## - TITLE STATEMENT | |
| Title | Generative Deep Learning: |
| Remainder of title | Teaching Machines to Paint, Write, Compose, and Play / |
| Statement of responsibility, etc. | by David Foster |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd Ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | California: |
| Name of publisher, distributor, etc. | O'Reilly Media Inc., |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | p. XXVI,427 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models, and world models.<br/><br/>Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative.<br/><br/>Discover how variational autoencoders can change facial expressions in photos<br/>Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation<br/>Create recurrent generative models for text generation and learn how to improve the models using attention<br/>Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting<br/>Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Science |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial Intelligence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine Learning |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Suppress in OPAC | No |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | ARCHBISHOP KAVUKATTU CENTRAL LIBRARY | ARCHBISHOP KAVUKATTU CENTRAL LIBRARY | 11/26/2024 | 1800.00 | 006.31 FOS-G2 | 69185 | 11/26/2024 | 11/26/2024 | Books |