Michael Paluszek Stephanie Thomas Paluszek Practical MATLAB Deep Learning

Practical MATLAB Deep Learning

von Michael Paluszek Stephanie Thomas

A Project-Based Approach

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Beschreibung

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.  
You will:


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 LearnWho This Book Is For 
Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.

Utilizes real world examples in MATLAB for major applications of deep learning and AI

Comes with complete working MATLAB source code

Shows how to use MATLAB graphics and visualization tools for deep learning



Autor*in

Michael Paluszek

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Details

ISBN: 9781484251232
Verlag: APRESS
Erscheinung: 08.02.2020

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