Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications


Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications
Authors: Ian Pointer
ISBN-10 书号: 1492045357
ISBN-13 书号: 9781492045359
Edition 版本: 1
Publisher Finelybook 出版日期: 2019-10-08
pages 页数: 220 pages


Book Description
Take the next steps toward mastering deep learning,the machine learning method that’s transforming the world around us by the second. In this practical book,you’ll get up to speed on key ideas using Facebook’s open source PyTorch framework and gain the latest skills you need to create your very own neural networks.
Ian Pointer shows you how to set up PyTorch on a cloud-based environment,then walks you through the creation of neural architectures that facilitate operations on images,sound,text,and more through deep dives into each element. He also covers the critical concepts of applying transfer learning to images,debugging models,and PyTorch in production.
Learn how to deploy deep learning models to production
Explore PyTorch use cases from several leading companies
Learn how to apply transfer learning to images
Apply cutting-edge NLP techniques using a model trained on Wikipedia
Use PyTorch’s torchaudio library to classify audio data with a convolutional-based model
Debug PyTorch models using TensorBoard and flame graphs
Deploy PyTorch applications in production in Docker containers and Kubernetes clusters running on Google Cloud
1.Getting Started with PyTorch
2.Image Classification with PyTorch
3.Convolutional Neural Networks
4.Transfer Learning and Other Tricks
5.Text Classification
6.A Journey into Sound
7.Debugging PyTorch Models
8.PyTorch in Production
9.PyTorch in the Wild
Index

下载地址 Download
打赏
未经允许不得转载:finelybook » Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

相关推荐

  • 暂无文章

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下

您的打赏,我们将继续给力更多优质内容

支付宝扫一扫打赏

微信扫一扫打赏