Deep Learning with PyTorch，A practical approach to

文件名称: Deep Learning with PyTorch

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详细说明：Deep Learning with PyTorch，A practical approach to building neural network models using PyTorch（PyTorch入门书籍）Copyright C 2018 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 author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been 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 Commissioning editor: Veena Pagare Acquisition Editor: Aman singh Content Development editor: Snehal Kolte Technical Editor: Sayli nikalje Copy Editor: Safis Editing Project Coordinator: Manthan Patel Proofreader: Safis Editing Indexer: Pratik Shirodkar Graphics: Ta ania dutta Production Coordinator: Deepika Naik First published: February 2018 Production reference: 1210218 Published by packt Publishing ltd Livery pla 35 Livery street Birmingham B3 2PB, UK ISBN978-1-78862433-6 www.packtpub.com Jeremy Howard and Rachel Thomas for inspiring me to write this book, and to my family for their love Vishnu subramanian ipt Mapt is an online digital library that gives you full access to over 5,000 books and videos, as well as industry leading tools to help you plan your personal development and advance your career. For more information, please visit our website Spend less time learning and more time coding with practical eBooks and Videos from over 4, 000 industry professionals Improve your learning with skill plans built especially for you Get a free ebook or video every month Mapt is fully searchable Copy and paste, print, and bookmark content 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 atservicepacktpub.comformoredetails Atwww.packtpub.comyoucanalsoreadacollectionoffreetechnicalarticlessignupfora range of free newsletters and receive exclusive discounts and offers on packt books and B eBooKs I have been working with Vishnu Subramanian for the last few years. Vishnu comes across as a passionate techno-analytical expert who has the rigor one requires to achieve excellence. His points of view on big data/machine learning/ai are well informed and carry his own analysis and appreciation of the landscape of problems and solutions. Having known him closely, I'm glad to be writing this foreword in my capacity as the Ceo of Affine Increased success through deep learning solutions for our Fortune 500 clients clearly necessitates quick prototyping. Py Torch(a year-old deep learning framework)allows rapic framework. This leads to an augmentation of the best of human capabilities wih tity of the prototyping for analytical projects without worrying too much about the complexity of the frameworks that can help deliver solutions faster. As an entrepreneur delivering advanced analytical solutions, building this capability in my teams happens to be the primary objective for me. In this book, Vishnu takes you through the fundamentals of building deep learning solutions using Py Torch while helping you build a mindset geared towards modern deep learning techniques The first half of the book introduces several fundamental building blocks of deep learning and PyTorch. It also covers key concepts such as overfitting, underfitting, and techniques that helps us deal with them In the second half of the book, vishnu covers advanced concepts such as cnn, rnn, and LSTM transfer learning using pre-convoluted features, and one-dimensional convolutions, along with real-world examples of how these techniques can be applied The last two chapters introduce you to modern deep learning architectures such as Inception, ResNe Dense Net model and ensembling, and generative networks such as style transfer, GAN and language modeling With all the practical examples covered and with solid explanations, this is one of the best books for readers who want to become proficient in deep learning. The rate at which technology evolves is unparalleled today. To a reader looking forward towards developing mature deep learning solutions, I would like to point that the right framework also drives the right mindset To all those reading through this book, happy exploring new horizons! Wishing vishnu and this book a roaring success which they both deserve Manas agarwal CEO, Co-Founder of Affine analytics Bengaluru, India Vishnu Subramanian has experience in leading architecting, and implementing several data analytical projects(artificial intelligence, machine learning and deep learning). He big specializes in machine learning, deep learning, distributed machine learning, and visualization. He has experience in retail, finance, and travel. He is good at understanding and coordinating between businesses, AL, and engineering teams This book would not have been possible without the inspiration and mooc by Jeremy Howard and rachel Thomas of fast. ai. Thanks to them for the important role they are playing in democratizing Alldeep learning Poonam Ligade is a freelancer who specializes in big data tools such as Spark, Flink, and Cassandra, as well as scalable machine learning and deep learning. She is also a top kaggle kernel writer If you're interested in becoming an author for Packt, please visit authors. packtpub com and apply today. We have worked with thousands of developers and tech professionals, just like you, to help them share their insight with the global tech community. You can make a general application, apply for a specific hot topic that we are recruiting an author for, or submit your own idea

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