Generative AI with Python and TensorFlow 2 (notice n° 1555777)
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| fixed length control field | 03117cam a2200289zu 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | FRCYB88914006 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251020123917.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 251020s2021 fr | o|||||0|0|||eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781800200883 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | FRCYB88914006 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | FR-PaCSA |
| Language of cataloging | en |
| Transcribing agency | |
| Description conventions | rda |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Babcock, Joseph |
| 245 01 - TITLE STATEMENT | |
| Title | Generative AI with Python and TensorFlow 2 |
| Statement of responsibility, etc. | ['Babcock, Joseph', 'Bali, Raghav'] |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Name of producer, publisher, distributor, manufacturer | Packt Publishing |
| Date of production, publication, distribution, manufacture, or copyright notice | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | p. |
| 336 ## - CONTENT TYPE | |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type code | c |
| Source | rdamdedia |
| 338 ## - CARRIER TYPE | |
| Carrier type code | c |
| Source | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Understand the theory behind deep generative models and experiment with practical examplesKey FeaturesBuild a solid understanding of the inner workings of generative modelsExperiment with practical TensorFlow 2.x implementations of state-of-the-art modelsExplore a wide range of current and emerging use cases for deep generative AIBook DescriptionDeep generative models are powerful tools that rival human creative capabilities. In this book, you'll discover how these models emerged, from restricted Boltzmann machines and deep belief networks to VAEs, GANs, and beyond. You'll develop a foundational understanding of generative AI and learn how to implement models yourself in TensorFlow, supported by references to seminal and current research. After getting to grips with the fundamentals of deep neural networks, you'll set up a scalable code lab in the cloud and begin to explore the huge breadth of potential use cases for generative models. You'll look at Open AI's news generator, networks for style transfer and deepfakes, synergy with reinforcement learning, and more. As you progress, you'll recreate the code that makes these possible, piecing together TensorFlow layers, utility functions, and training loops to uncover links between the different modes of generation. By the end of this book, you will have acquired the knowledge to create and implement your own generative AI models.What you will learnImplement paired and unpaired style transfer with networks like StyleGANUse facial landmarks, autoencoders, and pix2pix GAN to create deepfakesBuild several text generation pipelines based on LSTMs, BERT, and GPT-2, learning how attention and transformers changed the NLP landscapeCompose music using hands-on LSTM models, simple GANs, and the intricate MuseGANTrain a deep learning agent to move through a simulated physical environmentDiscover emerging applications of generative AI, such as folding proteins and creating videos from images Who this book is forThis book will appeal to Python programmers, seasoned modelers, and machine learning engineers who are keen to learn about the creation and implementation of generative models. To make the most out of this book, you should have a basic familiarity with probability theory, linear algebra, and deep learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Babcock, Joseph |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bali, Raghav |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Access method | Cyberlibris |
| Uniform Resource Identifier | <a href="https://international.scholarvox.com/netsen/book/88914006">https://international.scholarvox.com/netsen/book/88914006</a> |
| Electronic format type | text/html |
| Host name | |
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