实例介绍
【实例简介】
讲PyTorch不错的资源，比较新，作为通读、快速了解的读物是不错的
Deep Learning with PyTorch Copyright o 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. Ne either 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: Tania Dutta Production Coordinator: Deepika Naik First published: February 2018 Production reference: 1210218 Published by Packt Publishing Ltd Livery place 35 Livery street Birmingham B 3 2PB, UK ISBN978-1-78862-433-6 www.packtpub.com o Jeremy Howard and Rachel Thomas for inspiring me to write this book, and to my family for their love Vishnu subramanian Mapt 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 Why subscribe? Spend less time learning and more time coding with practical eBooks and videos Improve your learning with Skill Plans built especially for you Get a free e Book or video every month Mapt is fully searchable Copy and paste, print, and bookmark content 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 e book 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 Foreword 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, Im 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. PyTorch(a year-old deep learning framework)allows rapid prototyping for analytical projects without worrying too much about the complexity of the framework. This leads to an augmentation of the best of human capabilities with 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, ng 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, ResN DenseNet model and ensembling, and generative networks such as style transfer, GAl 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 whicl 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 Contributors About the author Vishnu Subramanian has experience in leading, architecting, and implementing several big data analytical projects(artificial intelligence, machine learning, and deep learning). He 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 About the reviewer 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 Packt is searching for authors like you 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 Table of contents Preface Chapter 1: Getting Started with Deep Learning Using PyTorch Artificial intelligence The history of Al Machine learning Examples of machine learning in real life 677899 Deep learning Applications of deep learning Hype associated with deep learning 12 The history of deep learning Why now? 13 Hardware availability 13 Data and algorithms 15 Deep learning frameworks 15 y I orcl 16 Summary Chapter 2: Building Blocks of Neural Networks Installing Py Torch 18 Our first neural network 19 Data preparation 20 Scalar(0-D tensors) 21 Vectors(1-D tensors) 21 Matrix(2-D tensors) 21 3-D tensors 22 Slicing tensors 23 4-D tensors 26 5-D tensors 26 Tensors on gPu 27 Variables 28 Creating data for our neural network Creating learnable parameters 【实例截图】
【核心代码】
讲PyTorch不错的资源，比较新，作为通读、快速了解的读物是不错的
Deep Learning with PyTorch Copyright o 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. Ne either 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: Tania Dutta Production Coordinator: Deepika Naik First published: February 2018 Production reference: 1210218 Published by Packt Publishing Ltd Livery place 35 Livery street Birmingham B 3 2PB, UK ISBN978-1-78862-433-6 www.packtpub.com o Jeremy Howard and Rachel Thomas for inspiring me to write this book, and to my family for their love Vishnu subramanian Mapt 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 Why subscribe? Spend less time learning and more time coding with practical eBooks and videos Improve your learning with Skill Plans built especially for you Get a free e Book or video every month Mapt is fully searchable Copy and paste, print, and bookmark content 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 e book 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 Foreword 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, Im 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. PyTorch(a year-old deep learning framework)allows rapid prototyping for analytical projects without worrying too much about the complexity of the framework. This leads to an augmentation of the best of human capabilities with 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, ng 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, ResN DenseNet model and ensembling, and generative networks such as style transfer, GAl 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 whicl 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 Contributors About the author Vishnu Subramanian has experience in leading, architecting, and implementing several big data analytical projects(artificial intelligence, machine learning, and deep learning). He 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 About the reviewer 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 Packt is searching for authors like you 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 Table of contents Preface Chapter 1: Getting Started with Deep Learning Using PyTorch Artificial intelligence The history of Al Machine learning Examples of machine learning in real life 677899 Deep learning Applications of deep learning Hype associated with deep learning 12 The history of deep learning Why now? 13 Hardware availability 13 Data and algorithms 15 Deep learning frameworks 15 y I orcl 16 Summary Chapter 2: Building Blocks of Neural Networks Installing Py Torch 18 Our first neural network 19 Data preparation 20 Scalar(0-D tensors) 21 Vectors(1-D tensors) 21 Matrix(2-D tensors) 21 3-D tensors 22 Slicing tensors 23 4-D tensors 26 5-D tensors 26 Tensors on gPu 27 Variables 28 Creating data for our neural network Creating learnable parameters 【实例截图】
【核心代码】
标签：
好例子网口号：伸出你的我的手 — 分享！
小贴士
感谢您为本站写下的评论，您的评论对其它用户来说具有重要的参考价值，所以请认真填写。
- 类似“顶”、“沙发”之类没有营养的文字，对勤劳贡献的楼主来说是令人沮丧的反馈信息。
- 相信您也不想看到一排文字/表情墙，所以请不要反馈意义不大的重复字符，也请尽量不要纯表情的回复。
- 提问之前请再仔细看一遍楼主的说明，或许是您遗漏了。
- 请勿到处挖坑绊人、招贴广告。既占空间让人厌烦，又没人会搭理，于人于己都无利。
关于好例子网
本站旨在为广大IT学习爱好者提供一个非营利性互相学习交流分享平台。本站所有资源都可以被免费获取学习研究。本站资源来自网友分享，对搜索内容的合法性不具有预见性、识别性、控制性，仅供学习研究，请务必在下载后24小时内给予删除，不得用于其他任何用途，否则后果自负。基于互联网的特殊性，平台无法对用户传输的作品、信息、内容的权属或合法性、安全性、合规性、真实性、科学性、完整权、有效性等进行实质审查；无论平台是否已进行审查，用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二与二十三条之规定，若资源存在侵权或相关问题请联系本站客服人员，点此联系我们。关于更多版权及免责申明参见 版权及免责申明
网友评论
我要评论