| Description |
1 online resource (xix, 329 pages : illustrations) |
| Series |
ITpro collection
|
| Bibliography |
Includes bibliographical references and index. |
| 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. |
| Contents |
What Is Deep Learning? -- MATLAB Machine learning toolboxes -- Findining circles with deep learning -- Classifying movies -- Algorithmic deep learning -- Tokamak disruption detection -- Classifying a pirouette -- Completing sentences -- Terrain-based navigation -- Stock prediction -- Image classification -- Orbit determination -- Earth sensors -- Generative modeling of music -- Reinforcement learning. |
| Subject |
MATLAB.
|
|
MATLAB |
|
Machine learning.
|
|
Apprentissage automatique. |
|
Machine learning |
| Added Author |
Thomas, Stephanie J., author.
|
|
Ham, Eric, author.
|
| Other Form: |
Original 1484279115 9781484279113 (OCoLC)1274198335 |
| ISBN |
9781484279120 electronic book |
|
1484279123 electronic book |
| Standard No. |
10.1007/978-1-4842-7912-0 doi |
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