Generative deep learning : teaching machines to paint, write, compose, and play / David Foster.
By: Foster, David [author.].
Publisher: Sebastopol, CA : O'Reilly Media, Inc., ©2019Edition: First edition.Description: xv, 308 pages : illustrations (chiefly color) ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781492041948.Subject(s): Machine learning | Artificial intelligence | Neural networks (Computer science) | Generative programming (Computer science) | Artificial intelligence | Generative programming (Computer science) | Machine learning | Neural networks (Computer science)Genre/Form: Print books.Summary: "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. 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."--Amazon.com.| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | Q325.5 .F67 2019 (Browse shelf) | Available | AU00000000014913 |
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| Q325.5 .E87 2020 Introducing machine learning / | Q325.5 .F38 2020 A concise introduction to machine learning / | Q325.5 .F43 2018 Feature engineering for machine learning and data analytics / | Q325.5 .F67 2019 Generative deep learning : teaching machines to paint, write, compose, and play / | Q325.5 .F67 2023 Generative deep learning : teaching machines to paint, write, compose, and play / | Q325.5 .G422 2023 Advanced machine intelligence and signal processing / | Q325.5 .G46 2019 Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems / |
Includes bibliographical references and index.
"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. 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."--Amazon.com.