MATLAB Deep Learning

With Machine Learning, Neural Networks and Artificial Intelligence

Authors: Kim, SeongPil

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  • Demonstrates how to counter real world problems found in big data, smart bots and more through practical examples
  • Broadens your understanding of neural networks, deep learning, and convolutional neural networks
  • Explains how to use MATLAB for deep learning
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eBook £9.99
£23.99 (listprice)
price for United Kingdom (gross)
valid through November 28, 2017
  • ISBN 978-1-4842-2845-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover £12.50
£29.99 (listprice)
price for United Kingdom (gross)
valid through November 28, 2017
  • ISBN 978-1-4842-2844-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book.  
With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You’ll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage.
What You'll Learn

  • Use MATLAB for deep learning
  • Discover neural networks and multi-layer neural networks
  • Work with convolution and pooling layers
  • Build a MNIST example with these layers
Who This Book Is For

Those who want to learn deep learning using MATLAB. Some MATLAB experience may be useful.

About the authors

Phil Kim, PhD is an experienced MATLAB programmer and user.  He also works with algorithms of large data sets drawn from AI, machine learning.  He has worked at Korea Aerospace Research Institute as a Senior Researcher. There, his main task was to develop autonomous flight algorithm and onboard software for unmanned aerial vehicle. An on-screen keyboard program named 'Clickey' was developed by him during his period in PhD program and served as a bridge to bring the author currently to his current assignment as a Senior Research Officer at National Rehabilitation Research Institute of Korea.

Table of contents (6 chapters)

Buy this book

eBook £9.99
£23.99 (listprice)
price for United Kingdom (gross)
valid through November 28, 2017
  • ISBN 978-1-4842-2845-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover £12.50
£29.99 (listprice)
price for United Kingdom (gross)
valid through November 28, 2017
  • ISBN 978-1-4842-2844-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
MATLAB Deep Learning
Book Subtitle
With Machine Learning, Neural Networks and Artificial Intelligence
Authors
Copyright
2017
Publisher
Apress
Copyright Holder
Phil Kim
Distribution Rights
Standard Apress distribution
eBook ISBN
978-1-4842-2845-6
DOI
10.1007/978-1-4842-2845-6
Softcover ISBN
978-1-4842-2844-9
Edition Number
1
Number of Pages
XVII, 151
Number of Illustrations and Tables
75 b/w illustrations, 20 illustrations in colour
Topics