Practical MATLAB Deep Learning

Author: Michael Paluszek Stephanie Thomas

SKU: 9781484251232 Category:
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Description

Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB’s deep-learning toolboxes. You’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. Along the way, you’ll learn to model complex systems, including the stock market, natural language, and angles-only orbit determination. You’ll cover dynamics and control, and integrate deep-learning algorithms and approaches using MATLAB. You’ll also apply deep learning to aircraft navigation using images. Finally, you’ll carry out classification of ballet pirouettes using an inertial measurement unit to experiment with MATLAB’s hardware capabilities. 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 Who This Book Is For Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB. show more

Additional information

Weight 510 g
Author

Michael Paluszek Stephanie Thomas

Publisher

APress

Binding

Paperback / softback

ISBN-10

1484251237

Dimensions

273 x 169 x 15

Language

English

Country of Pub

United States

Book Condition

New

Notes

100 Illustrations, color; 11 Illustrations, black and white; XV, 252 p. 111 illus., 100 illus. in color.

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