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Practical Matlab Deep Learning eBook

A Project-Based Approach

by Michael Paluszek e Stephanie Thomas
language: english
Publisher: Apress, February of 2020 ‧
39,74€
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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.

Practical Matlab Deep Learning

A Project-Based Approach

by Michael Paluszek e Stephanie Thomas

Property Description
ISBN: 9781484251249
Publisher: Apress
Release Date: February of 2020
Language: English
Format: eBook
File Format and Compatibility:
Collection: Professional And Applied Computing
Categories: eBooks in English > Science > Mathematics
eBooks in English > Computing > Other Applications
EAN: 9781484251249
Acessibilidade: Ver características de acessibilidade indicadas pelo editor