Practical MATLAB Deep Learning, 2nd Edition
A Projects-Based Approach
Book Description
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.Over the course of the book, you'll learn to model complex systems and apply deep learning to problems in those areas. Applications include: Aircraft navigation; An aircraft that lands on Titan, the moon of Saturn, using reinforcement learning; Stock market prediction; Natural language processing; Music creation usng generative deep learning; Plasma control; Earth sensor processing for spacecraft; MATLAB Bluetooth data acquisition applied to dance physics.
Book Details | |
| Publisher: | Apress |
| By: | Michael Paluszek, Stephanie Thomas, Eric Ham |
| ISBN-13: | 9781484279113 |
| ISBN-10: | 1484279115 |
| Year: | 2022 |
| Pages: | 329 |
| Language: | English |
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| Online | Practical MATLAB Deep Learning, 2nd Edition |
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