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MATLAB Deep Learning

With Machine Learning, Neural Networks and Artificial Intelligence

  • Phil Kim

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Phil Kim
    Pages 1-18
  3. Phil Kim
    Pages 19-51
  4. Phil Kim
    Pages 81-102
  5. Phil Kim
    Pages 103-120
  6. Phil Kim
    Pages 121-147
  7. Back Matter
    Pages 149-151

About this book

Introduction

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.

You will:
  • 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

Keywords

Deep Learning machine learning AI artificial inteligence big data analytics MATLAB programming

Authors and affiliations

  • Phil Kim
    • 1
  1. 1.SeoulKorea (Republic of)

Bibliographic information

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