You're reading from Deep Reinforcement Learning Hands-On. - Second Edition

Product typeBook

Published inJan 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781838826994

Edition2nd Edition

Languages

Python

Tools

Keras TensorFlow

Concepts

Deep Reinforcement Learning

Author (1)

Maxim Lapan

Monitoring with TensorBoard

If you have ever tried to train an NN on your own, then you will know how painful and uncertain it can be. I'm not talking about following the existing tutorials and demos, when all the hyperparameters are already tuned for you, but about taking some data and creating something from scratch. Even with modern DL high-level toolkits, where all best practices, such as proper weights initialization; optimizers' betas, gammas, and other options set to sane defaults; and tons of other stuff hidden under the hood, there are still lots of decisions that you can make, hence lots of things that could go wrong. As a result, your network almost never works from the first run and this is something that you should get used to.

Of course, with practice and experience, you will develop a strong intuition about the possible causes of problems, but intuition needs input data about what's going on inside your network. So, you need to be able to peek inside...

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Deep Reinforcement Learning Hands-On. - Second Edition

Published in: Jan 2020Publisher: PacktISBN-13: 9781838826994

Author (1)

Maxim Lapan

Maxim has been working as a software developer for more than 20 years and was involved in various areas: distributed scientific computing, distributed systems and big data processing. Since 2014 he is actively using machine and deep learning to solve practical industrial tasks, such as NLP problems, RL for web crawling and web pages analysis. He has been living in Germany with his family.
Read more about Maxim Lapan

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You're reading from Deep Reinforcement Learning Hands-On. - Second Edition

Monitoring with TensorBoard

Unlock this book and the full library FREE for 7 days

Author (1)

TensorFlow Reinforcement Learning Quick Start Guide

Deep Reinforcement Learning with Python

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