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

✍ Scribed by Phil Kim (auth.)

• Publisher: Apress
• Year: 2017
• Tongue: English
• Leaves: 162
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xvii
Machine Learning....Pages 1-18
Neural Network....Pages 19-51
Training of Multi-Layer Neural Network....Pages 53-80
Neural Network and Classification....Pages 81-102
Deep Learning....Pages 103-120
Convolutional Neural Network....Pages 121-147
Back Matter....Pages 149-151

✦ Subjects

Big Data;Artificial Intelligence (incl. Robotics);Mathematical Logic and Formal Languages;Programming Languages, Compilers, Interpreters;Programming Techniques