Generative deep learning : teaching machines to paint, write, compose, and play / David Foster.
نوع المادة : نصاللغة: الإنجليزية الناشر:Sebastopol, CA : O'Reilly Media, Inc., 2019تاريخ حقوق النشر: �2019الطبعات:First editionوصف:xv, 308 pages : illustrations (chiefly color) ; 24 cmنوع المحتوى:- text
- unmediated
- volume
- 9781492041948
- 1492041947
- Q325.5 .F678 2019
نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
---|---|---|---|---|---|---|---|
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | Q325.5 .F678 2019 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30030000005454 |
Includes bibliographical references and index.
Part 1. Introduction to generative deep learning. Generative modeling -- Deep learning -- Variational autoencoders -- Generative adversarial networks -- Part 2. Teaching machines to paint, write, compose, and play. Paint -- Write -- Compose -- Play -- The future of generative modeling -- Conclusion.
"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.