Practical MATLAB Deep Learning: A Project-Based Approach

Book Description

Harness the power of for deep-learning challenges. This book provides an introduction to deep learning and using 's deep-learning toolboxes. You’ll see how these toolboxes provide the complete set of needed to implement all aspects of deep learning.

Along the way, you'll learn to model complex , including the stock market, , and angles-only orbit determination. You’ll cover 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 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.

Book Details

  • Title: Practical MATLAB Deep Learning: A Project-Based Approach
  • Author: ,
  • Length: 252 pages
  • Edition: 1st ed.
  • Language: English
  • Publisher:
  • Publication Date: 2020-03-29
  • ISBN-10: 1484251237
  • ISBN-13: 9781484251232
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