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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

Episodic versus continuous tasks

A lot of the tasks that we specify in the real world have a well-defined ending point. For example, if an agent is playing a game, then the episode or the task ends when the agent wins or loses, or dies.

In the situation of a self-driving car, the task ends when the car reaches the destination or it crashes. These tasks with well-defined ending points are called episodic tasks. The reward that the agent gets is given to it at the end of each episode and this is when the agent decides how well it has done in the environment. Then the agent goes on to the next episode, when it starts from scratch but has the prior information of the last episode with it and can perform better.

As time passes, over a period of episodes, the agent will learn to play the game or drive the car to a particular destination, and thus it will be trained. As you will remember, the agent's goal is to maximize the cumulative reward at the end of the episode.

However, there...

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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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