Overview
- 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
Buy print copy
About 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.
Similar content being viewed by others
Keywords
Table of contents (6 chapters)
Authors and Affiliations
About the author
Bibliographic Information
Book Title: MATLAB Deep Learning
Book Subtitle: With Machine Learning, Neural Networks and Artificial Intelligence
Authors: Phil Kim
DOI: https://doi.org/10.1007/978-1-4842-2845-6
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Phil Kim 2017
Softcover ISBN: 978-1-4842-2844-9Published: 15 June 2017
eBook ISBN: 978-1-4842-2845-6Published: 15 June 2017
Edition Number: 1
Number of Pages: XVII, 151
Number of Illustrations: 75 b/w illustrations, 20 illustrations in colour
Topics: Big Data, Artificial Intelligence, Mathematical Logic and Formal Languages, Programming Languages, Compilers, Interpreters, Programming Techniques