This book uses engaging exercises to teach you how to build deep learning systems. Miguel Morales combines annotated Python code with intuitive explanations to explore Deep Reinforcement Learning (DRL) techniques. You’ll see how algorithms function and learn to develop your own DRL agents using evaluative feedback.

<ASIN:1617295450>

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Author: Miguel Morales
Publisher: Manning Publications
Date: November 2020
Pages: 472
ISBN: 978-1617295454
Print: 1617295450
Audience: Developers interested in deep learning
Level: Intermediate
Category: Artificial Intelligence

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.