MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence

By Phil Kim

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 LearnUse 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.

• Format: Paperback
• Language: English
• ISBN: 1484228448
• ISBN13: 9781484228449
• Release Date: June 2017
• Publisher: Apress
• Length: 151 Pages
• Weight: 0.55 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"

Customer Reviews

Reprint of same book published elsewhere- book overview does not accurately describe content of book

This book is a reprint of the book published by Apress. It does not contain any material on GAN, RNN, and others described in the book overview. Since I have a copy of the version published by Apress, I am very disappointed.