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PyTorch Deep Learning Hands-On

You're reading from PyTorch Deep Learning Hands-On Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily

Product type Paperback

Published in Apr 2019

Publisher Packt

ISBN-13 9781788834131

Length 250 pages

Edition 1st Edition

Languages

Python

Tools

PyTorch

Concepts

Deep Learning

Authors (2):

Sherin Thomas

Sudhanshu Passi

View More author details

Table of Contents (11) Chapters

Preface

1. Deep Learning Walkthrough and PyTorch Introduction FREE CHAPTER

2. A Simple Neural Network

3. Deep Learning Workflow

4. Computer Vision

5. Sequential Data Processing

6. Generative Networks

7. Reinforcement Learning

Chapter 8. PyTorch to Production

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Index

Summary

In this chapter, we have gone through three different approaches to take PyTorch to production, starting from the easiest but least performant way: using Flask. Then we moved to the MXNet model server, which is a pre-built, optimized server implementation that can be managed using management APIs. The MXNet model server is useful for people who don't need a lot of complexity but need an efficient server implementation that can be scaled as required.

Lastly, we tried with TorchScript to create the most efficient version of our model and imported that in C++. For those who are ready to take up the complexity of building and maintaining a low-level language server like C++, Go, or Rust, you can take this approach and build a custom server until we have better runtime available that can read the script module and serve that like MXNet does on ONNX models.

The year 2018 was the year of model servers; there were numerous model servers from different organizations with...

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Authors (2)

Sherin Thomas

Sherin Thomas

Sherin Thomas started his career as an information security expert and shifted his focus to deep learning-based security systems. He has helped several companies across the globe to set up their AI pipelines and worked recently for CoWrks, a fast-growing start-up based out of Bengaluru. Sherin is working on several open source projects including PyTorch, RedisAI, and many more, and is leading the development of TuringNetwork.ai. Currently, he is focusing on building the deep learning infrastructure for [tensor]werk, an Orobix spin-off company.

See other products by Sherin Thomas

Sudhanshu Passi

Sudhanshu Passi

Sudhanshu Passi is a technologist employed at CoWrks. Among other things, he has been the driving force behind everything related to machine learning at CoWrks. His expertise in simplifying complex concepts makes his work an ideal read for beginners and experts alike. This can be verified by his many blogs and this debut book publication. In his spare time, he can be found at his local swimming pool computing gradient descent underwater.

See other products by Sudhanshu Passi

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