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MATLAB Deep Learning

With Machine Learning, Neural Networks and Artificial Intelligence

  • Book
  • © 2017

Overview

Authors:
  1. Phil Kim

    1. Seoul, Korea (Republic of)

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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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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xvii
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  2. Machine Learning

    • Phil Kim
    Pages 1-18

  3. Neural Network

    • Phil Kim
    Pages 19-51

  4. Training of Multi-Layer Neural Network

    • Phil Kim
    Pages 53-80

  5. Neural Network and Classification

    • Phil Kim
    Pages 81-102

  6. Deep Learning

    • Phil Kim
    Pages 103-120

  7. Convolutional Neural Network

    • Phil Kim
    Pages 121-147

  8. Back Matter

    Pages 149-151
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Keywords

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.


Authors and Affiliations

  • Seoul, Korea (Republic of)

    Phil Kim

About the author

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.

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