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:
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Aircraft navigation
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An aircraft that lands on Titan, the moon of Saturn, using
reinforcement learning
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Stock market prediction
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Natural language processing
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Music creation usng generative deep learning
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Plasma control
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Earth sensor processing for spacecraft
-
MATLAB Bluetooth data acquisition applied to dance physics
What You Will Learn
- Explore deep learning using MATLAB and compare it to algorithms
- Write a deep learning function in MATLAB and train it with examples
- Use MATLAB toolboxes related to deep learning
- Implement tokamak disruption prediction
- Now includes reinforcement learning
Who This Book Is For
Engineers, data scientists, and students wanting a book rich in examples
on deep learning using MATLAB.
