MATLAB Deep Learning

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

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Description

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.
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Product details

  • Paperback | 151 pages
  • 155 x 235 x 9.4mm | 2,701g
  • Berkley, United States
  • English
  • 1st ed.
  • 20 Illustrations, color; 75 Illustrations, black and white; XVII, 151 p. 95 illus., 20 illus. in color.
  • 1484228448
  • 9781484228449
  • 255,683

Back cover copy

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
show more

Table of contents

1. Machine Learning2. Neural Network3. Training of Multi-Layer Neural Network4. Neural Network and Classification5. Deep Learning6. Convolutional Neural Network
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About Phil Kim

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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