PyTorch深度学习
eBook - ePub

PyTorch深度学习

Chinese Edition

Posts & Telecom Press,Vishnu Subramanian

  1. 212 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

PyTorch深度学习

Chinese Edition

Posts & Telecom Press,Vishnu Subramanian

Book details
Table of contents
Citations

About This Book

??PyTorch??????????? ????????????

Key Features

  • ??PyTorch?????????????
  • ?PyTorch?????, ?????????????????????, ????CNN?RNN?LSTM???????????????

Book Description

?????????????(??Google Voice?Siri?Alexa)??????????(?GPU)?????(?PyTorch?Keras?TensorFlow?CNTK)????????????, ????????????????????????????????????????????PyTorch????????????????????Python????????, PyTorch??????????????????????????PyTorch?????, ????????????????????????, ??????CNN?RNN?LSTM?????????????????????????????????(??ResNet?DenseNet?Inception?Seq2Seq)?????, ???????????????GPU??????????PyTorch???????, ??????????????????(?????), ???????????????, ??????PyTorch?????????????

What you will learn

  • ?GPU??????????PyTorch;
  • ????????????????, ????torchvision?torchtext????;
  • ??PyTorch???CNN??, ?????????;
  • ??RNN?LSTM?GRU?????????????????;
  • ?????CCN??(??ResNet?Inception?DenseNet?), ???????????;
  • ??????????, ?????????????;
  • ??GAN?????, ??????????????

Who this book is for

????????????, ?????PyTorch???????;?????????????????, ?????????PyTorch????

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Yes, you can access PyTorch深度学习 by Posts & Telecom Press,Vishnu Subramanian in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Processing. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Packt Publishing
Year
2024
ISBN
9781836200284
Topic
Computer Science
Subtopic
Data Processing
Index
Computer Science

Table of contents

  1. 版权信息
  2. 版权
  3. 版权声明
  4. 内容提要
  5. 序
  6. 作者简介
  7. 献辞
  8. 致谢
  9. 审稿人简介
  10. 译者简介
  11. 译稿审稿人简介
  12. 前言
  13. 资源与支持
  14. 第1章 PyTorch与深度学习
  15. 第2章 神经网络的构成
  16. 第3章 深入了解神经网络
  17. 第4章 机器学习基础
  18. 第5章 深度学习之计算机视觉
  19. 第6章 序列数据和文本的深度学习
  20. 第7章 生成网络
  21. 第8章 现代网络架构
  22. 第9章 未来走向