Practical MATLAB Deep Learning: A Projects-Based Approach

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of...
¥11,525 JPY
¥11,525 JPY
SKU: 9781484279113
Product Type: Books
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Author: Michael Paluszek
Format: Paperback
Language: English
Subtotal: ¥11,525
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Practical MATLAB Deep Learning: A Projects-Based Approach by Paluszek, Michael

Practical MATLAB Deep Learning: A Projects-Based Approach

¥11,525

Practical MATLAB Deep Learning: A Projects-Based Approach

¥11,525
Author: Michael Paluszek
Format: Paperback
Language: English

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:

  • Aircraft navigation
  • An aircraft that lands on Titan, the moon of Saturn, using reinforcement learning
  • Stock market prediction
  • Natural language processing
  • Music creation usng generative deep learning
  • Plasma control
  • 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.

Author: Michael Paluszek, Stephanie Thomas, Eric Ham
Publisher: Apress
Published: 09/11/2022
Pages: 329
Binding Type: Paperback
Weight: 1.35lbs
Size: 10.00h x 7.00w x 0.73d
ISBN: 9781484279113

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