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Practical MATLAB Deep Learning: A Project-Based Approach

By Michael Paluszek

Practical MATLAB Deep Learning: A Project-Based Approach Computer Science

Practical MATLAB Deep Learning: A Project-Based Approach

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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. Yoüll 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. Yoüll 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 LearnExplore deep learning using MATLAB and compare it to algorithmsWrite a deep learning function in MATLAB and train it with examplesUse MATLAB toolboxes related to deep learningImplement tokamak disruption prediction
Who This Book Is For Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
268
Release Date:
2020-02-08
Publication Date:
2020-02-08
Publisher:
Apress
Languages:
Published: English, Original: English
ISBN10:
1484251237
Weight:
476 g
Height:
25.4 cm
Width:
17.8 cm
Thickness:
1.6 cm
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