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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

The PyTorch way

So far, we have developed a simple two-layer neural network in a hybrid NumPy-PyTorch style. We have coded each operation line by line, like how we do it in NumPy, and we have adopted automatic differentiation from PyTorch so that we don't have to code the backward pass.

On the way, we have learned how to wrap matrices (or tensors) in PyTorch, and that helps us with backpropagation. The PyTorch way of doing the same thing is a bit more convenient and that is what we are going to discuss in this section. PyTorch gives access to almost all the functionality required for a deep learning project inbuilt. Since PyTorch supports all the mathematical functions available in Python, it's not a tough task to build one function if it's not available in the core. You can not only build any functionality you need, but PyTorch defines the derivative function of the functionality you build implicitly.

PyTorch is helpful for people who need to know the low-level...

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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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