Practical MATLAB deep learning : a project-based approach / Michael Paluszek, Stephanie Thomas.
2020
Q325.5
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Details
Title
Practical MATLAB deep learning : a project-based approach / Michael Paluszek, Stephanie Thomas.
Author
Paluszek, Michael.
ISBN
9781484251249 (electronic book)
1484251245 (electronic book)
9781484251232
1484251245 (electronic book)
9781484251232
Publication Details
Berkeley, CA : Apress, 2020.
Language
English
Description
1 online resource (260 pages)
Item Number
10.1007/978-1-4842-5
Call Number
Q325.5
Dewey Decimal Classification
006.3/1
Summary
Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. Youll 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. Youll 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: 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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Thomas, Stephanie.
Available in Other Form
Practical MATLAB Deep Learning : A Project-Based Approach
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