R Deep Learning Cookbook 【PDF】

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"R Deep Learning Cookbook" ISBN: 1787121089 | 2017 | PDF | 282 pages | 14.45 MB Key Features Master intricacies of R deep learning packages such as mxnet & tensorflow Learn application on deep learning in different domains using practical examples from text, image and speech Guide to set-up deep l
R Deep Learning Cookbook Copyright o 2017 Packt Publishing All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book Packt publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals However, Packt Publishing cannot guarantee the accuracy of this information First published August 2017 Production reference: 1030817 Published by packt Publishing ltd Livery place 35 Livery street Birmingham B3 2PB, UK ISBN978-1-78712-1089 www.packtpub.com Credits Authors Copy Editor Dr PKS Prakash Manisha sinha Achyutuni sri Krishna rao Reviewers Project Coordinator Vahid mirjalili Manthan patel Commissioning Editor Proofreader Veena Pagare Safis Editing Acquisition Editor Indexer Aman Singh Tejal Daruwale soni Content Development editor Graphics Tejas Limkar Tania dutta Technical editor Production Coordinator Sagar Sawant Deepika naik About the authors Dr. PKS Prakash is a data scientist and an author. He has spent the last 12 years developing many data science solutions to problems from leading companies in the healthcare manufacturing, pharmaceutical, and e-commerce domain. He is working as a Data Science Manager at Zs Associates Zs is one of the world's largest business service firms, helping clients with commercial success by creating data-driven strategies using advanced analytics, which they can implement within their sales and marketing operations to make them more competitive, and by helping them deliver impact where it matters Prakash obtained a Phd in Industrial and System Engineering from Wisconsin-Madiso US. He defended his second PhD in Engineering from University of Warwick, UK. His educational background also includes a master's degree from the University of wisconsin Madison, US, and a bachelor's degree from National institute of Foundry and Forge Technology(NIFFT), India. He is the co-founder of Warwick Analytics, which is based on his Phd work from the University of Warwick, UK Prakash is published widely in research areas of operational research and management, soft computing tools, and advance algorithms in leading journals such as IEEE-Trans, EJOR, and I]PR, among others. He has edited an issue of Intelligent Approaches to Complex Systems and contributed to Evolutionary Computing in Advanced Manufacturing, published by Wiley, and algorithms and Data Structures using r, published by Packt This book would not have been possible without the support and love from my wife, Dr Ritika Singh, and my daughter, Nishidha Singh. Also, I would like to extend my special thanks to so many people from the packt team whose names may not all be mentioned, but their contribution is sincerely appreciated and gratefully acknowledged The book started with an early discussion with Aman Singh(Acquisition editor), So I want to extend special thanks to him as without his input, this book would have never c appened. Also, I want to thank Tejas Limkar( Content development Editor) for ontinuously pushing us and getting the book delivered on time. I would like to extend thanks to all the reviewers, whose feedback has helped us tremendously in improving th book Achyutuni Sri Krishna Rao is a data scientist, a civil engineer, and an author. He has spent ne last four years developing many data science solutions to problems from leading companles in the healthcare, pharmaceuticals, and manufacturing. He is working as a Data Science consultant at zs associates Sri Krishnas background includes a master's degree in Enterprise Business Analytics and Machine learning from National University of Singapore, Singapore. His educational background also includes a bachelor's degree from National Institute of Technology Warangal, india Sri Krishna is published widely in research areas of civil engineering. He has contributed to a book titled Algorithms and Data Structures using R, published by Packt The journey of this book has been quite memorable, and i would like to give the credit to my loving wife and my baby(on the way). I like to extend special thanks to my caring parents and my adorable sister. Also, I would gratefully acknowledge the support from the entire Packt team, especially aman Singh(Acquisition Editor) and Tejas limkar(Content Development Editor), for striving to get the book delivered on time. I would like to extend thanks to all the reviewers, whose feedback has helped us tremendously in improving the book about the reviewer Vahid Mirjalili is a software engineer/data scientist, currently working toward his PhD in Computer Science at michigan State University His research at the i- PRoBE (integrated pattern recognition and biometrics)involves attribute classification of face images from large image datasets. He also teaches Python programming as well as computing concepts for data analysis and databases. With his specialty in data mining, he is very interested in predictive modeling and getting insights from data. He is also a Python developer and likes to contribute to the open source community. He enjoys making tutorials for different areas of data science and computer algorithms, which can be found in his github repository, at h ttp: //github. com/mirjalil/Datascience www.paCktpub.com Forsupportfilesanddownloadsrelatedtoyourbookpleasevisitwww.packtpub.Com Did you know that packt offers e book versions of every book published, with pdf and epubfilesavailableyoUcanupgradetotheebookversionatwww.packtpub.comandasa print book customer, you are entitled to a discount on the ebook copy. Get in touch with us at service@packtpub com for more details Atwww.packtpub.comyoucanalsoreadacollectionoffreetechnicalarticlessignupfora range of free newsletters and receive exclusive discounts and offers on packt books and eBooKs Mapt https://www.packtpub.com/mapt Get the most in-demand software skills with Mapt. Mapt gives you full access to all Packt books and video courses, as well as industry-leading tools to help you plan your personal development and advance your career Why subscribe? Fully searchable across every book published by packt Copy and paste, print, and bookmark content On demand and accessible via a web browser Customer Feedback Thanks for purchasing this Packt book. At Packt, quality is at the heart of our editorial process. To help us improve, please leave us an honest review on this book's Amazon page athttps://www.amazoncom/dp/1787121089 If you'd like to join our team of regular reviewers, you can e-mail us at ustomerreviewsapacktpub com We award our regular reviewers with free eBooks and videos in exchange for their valuable feedback. Help us be relentless in improving our products Table of contents Preface Chapter 1: Getting Started 6 Introduction 6 Installing R with an IDE Getting ready How to do it 8 Installing a Jupyter Notebook application How to do it 10 There's more Starting with the basics of machine learning in R 12 How to do it 13 Howⅰ t works. Setting up deep learning tools/packages in R 18 How to do it 18 Installing MXNet in R 19 Getting ready 19 How to do it Installing TensorFlow in R Getting ready 21 How to do it 21 How it works 22 See also 23 Installing H20 in R 24 Getting read How to do it How it works 26 Theres more 29 Installing all three packages at once using Docker 30 Getting ready 30 How to do it 31 There' s more 32 Chapter 2: Deep Learning with R 33 Starting with logistic regression 33 Getting ready 34

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    成长君 刚出版就上传,太牛了。
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