Practical MATLAB deep learning : a projects-based approach / Michael Paluszek, Stephanie Thomas and Eric Ham.
Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you'll see how these toolboxes provide the complet...
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| Online Access: |
Full Text (via O'Reilly/Safari) |
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| Main Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Apress,
[2022]
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| Edition: | Second edition. |
| Series: | ITpro collection
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| Subjects: |
| Summary: | Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you'll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. This edition includes new and expanded projects, and covers generative deep learning and reinforcement learning. |
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| Physical Description: | 1 online resource (xix, 329 pages : illustrations) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781484279120 1484279123 |
| Source of Description, Etc. Note: | Description based on online resource; title from digital title page (viewed on November 08, 2022). |