Practical MATLAB Deep Learning

Practical MATLAB Deep Learning

by Michael Paluszek and Stephanie Thomas
Epub (Kobo), Epub (Adobe)
Publication Date: 13/02/2020

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  $54.99

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.

ISBN:
9781484251249
9781484251249
Category:
Artificial intelligence
Format:
Epub (Kobo), Epub (Adobe)
Publication Date:
13-02-2020
Language:
English
Publisher:
APress
Stephanie Thomas

Stephanie Thomas is a certified personal trainer, health coach, and yoga teacher who believes that creating the happy, healthy life you want can be a laid-back, realistic, and, most importantly, restful experience.

The founder of Stephanie Thomas Fitness and the creator of The Bridal Body Workout Guide, Stephanie’s writing on health, fitness, and wellness has appeared on sites like MindBodyGreen, and Thrive Global. In her spare time, you can find Stephanie reading the latest health book, spending time in nature, or taking a walk with her two cavalier pups. 

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