MATLAB Deep Learning With Machine Learning

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MATLAB Deep Learning With Machine Learning, Neural Networks and Artificial Intelligence Phil Kim ■■Chapter 1: Machine Learning ......................................................... 1 ■■Chapter 2: Neural Network ........................................................... 19 ■■Chapter 3: Training
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence Phil Kim Seoul, Soul-t'ukpyolsi, Korea(Republic of) ISBN-13(pbk:978-1-48422844-9 ISBN-13( electronic:978-1-4842-2845-6 DOI10.1007/978-1-4842-2845-6 Library of Congress Control Number: 2017944429 Copyright o 2017 by Phil Kim This work is subject to copyright All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the tradema The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with espect to the material contained herein Cover image designed by Freepik Managing Director: Welmoed Spahr Editorial Director: Todd green Acquisitions Editor: Steve Anglin Development Editor: Matthew Moodie Technical Reviewer: Jonah Lissner Coordinating Editor: Mark Powers Copy Editor: Kezia Endsley Distributed to the book trade worldwide by Springer Science+ Business Media New York, 233 Spring Street, 6th Floor, New York, NY 10013. Phone 1-800-SPRINGER, fax(201)348-4505, e-mail orders-ny@springer-sbm.comorvisitwww.springeronline.comApressMedia,LlcisaCalifornia LLC and the sole member (owner) is Springer Science+ Business Media Finance Inc( SSBM Finance Inc) SSBM Finance Inc is a Delaware corporation Forinformationontranslationspleasee-mailrights@apress.com,orvisithttp://www.apress.com/ rights-permissions Apress titles may be purchased in bulk for academic, corporate, or promotional use eBook versions and licenses are also available for most titles for more information reference our print and ebook BulkSaleswebpageathttp://www.apress.com/bulk-sales Any source code or other supplementary material referenced by the author in this book is available to readersongIthubviathebooksproductpagelocatedatwww.apress.com/9781484228449.Formore detailedinformationpleasevisithttp://www.apress.com/source-code Printed on acid-free paper Contents at a glance About the author ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ X About the technical reviewer ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■口■■■■■口■■■■■口■ XI Acknowledgments,… ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ XII Introduction XV Chapter 1: Machine Learning ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■口■■■■■■■■■■■■■■■■■口■■ Chapter 2: Neural Network.m ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ g19 Chapter 3: Training of Multi-Layer Neural Network ■■■■■■■■■■■■■■■■■■■■■■ 53 Chapter 4: Neural Network and classification. ■■■■■■■■■■■■■■■■■■■■■■■■■■■■ 81 Chapter5: Deep Learning…,,…,,,,,,,,,103 Chapter 6: Convolutional Neural Network 121 Index ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ 149 Contents About the author ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ X About the technical reviewer ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■口■■■■■口■■■■■口■ XI Acknowledgments,,,,…,…,,,,,算,mxii Introduction XV Chapter 1: Machine Learning ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■口■■■■■■■■■■■■■■■■■口■■ What Is Machine Learning? 2 Challenges with Machine Learning……4 0 verfitting…… 6 Confronting Overfitting. 10 Types of Machine Learning 12 Classification and Regression............................ 14 Summary 17 Chapter 2: Neural Network.at ■■■■■■■■■■■■■■■■■■■口■■ ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ 19 Nodes of a neural network Layers of Neural Network Supervised Learning of a Neural Network ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ 0279 Training of a single-layer Neural Network: Delta rule Generalized Delta rule 32 CONTENTS SGD, Batch and mini batch mm 34 Stochastic gradient descent 34 Batch….35 Mini batch 36 Example: Delta Rule 37 Implementation of the SGD Method 38 Implementation of the Batch Methodm......manna...a.. 41 Comparison of the SGd and the batch Limitations of Single-Layer Neural Networks 35 Summary .50 Chapter 3: Training of Multi-Layer Neural Network mmmm 53 Back-Propagation Algorithm 54 Example: Back-Propagation 60 XOR Problem Momentum Cost Function and Learning Rule . EXample: Cross Entropy function....,,,…,…,…………73 Cross Entropy Function 74 Comparison of Cost Functions 76 Summary…,, Chapter 4: Neural Network and classification mmmmmmmmmm. 81 Binary classification 81 Multiclass classification ,86 Example: Multiclass Classification 93 Summary 102 CONTENtS Chapter 5: Deep Learning ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ 103 Improvement of the Deep Neural Network.mmmmmmammmmmmmmn 105 Vanishing gradient.… 0 befitting… 107 Computational Load EXample: Relu and dropout 109 RelU function m110 Dropout 114 Summary…,…, 120 Chapter6: Convolutional neural network,,…,……,121 Architecture of convNet mmmm. 121 Convolution Layer 124 Pooling Layer. 130 EXample: MNIST 131 Summary 147 Index…u149 About the author Phil Kim, PhD is an experienced MAtlAB programmer and user. He also works with algorithms of large datasets drawn from Al, and Machine Learning. He has worked at the Korea Aerospace Research Institute as a Senior researcher There, his main task was to develop autonomous flight algorithms and onboard software for unmanned aerial vehicles. he developed an onscreen keyboard program named"Clickey"during his period in the PhD program, which served as a bridge to bring him to his current assignment as a Senior Research Officer at the National rehabilitation research institute of Korea About the technical Reviewer Jonah lissner is a research scientist advancing phd and dsc programs scholarships, applied projects, and academic journal publications in theoretical physics, power engineering, complex systems, metamaterials, geophysics, and computation theory. He has strong cognitive ability in empiricism and scientific reason for the purpose of hypothesis building theory learning, and mathematical and axiomatic modeling and testing for abstract problem solving His dissertations, research publications and projects, CV, journals, blog, novels, andsystemarelistedathttp://lissneRresearch.weebly.com Acknowledgments Although i assume that the acknowledgements of most books are not relevant to readers, I would like to offer some words of appreciation, as the following people are very special to me. First, I am deeply grateful to those I studied DeepLearningwithattheModulabs(www.modulabs.co.kr).Iowethemfor teaching me most of what I know about Deep Learning. In addition, I offer my heartfelt thanks to director s Kim of modulabs who allowed me to work in such a wonderful place from spring to summer. I was able to finish the most of this book at modulars I also thank president Jeon from Bogonet, Dr H You, Dr Y.S. Kang, and Mr..H Lee from KaRl, director S. Kim from Modulabs, and mr W. Lee and Mr S Hwang from J. MARPLE. They devoted their time and efforts to reading and revising the draft of this book. Although they gave me a hard time throughout the revision process, I finished it without regret Lastly, my deepest thanks and love to my wife, who is the best woman I have ever met, and children, who never get bored of me and share precious memories with me

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