Deep Learning

If you work in the embedded, desktop, and big data/Hadoop spaces and really want to understand deep learning, this is your book. Looking for one central source where you can learn key findings on machine learning? Deep Learning: The Definitive Guide provides developers and data scientists with the most practical information available on the subject, including deep learning theory, best practices, and use cases. Authors Adam Gibson and Josh Patterson present the latest relevant papers and techniques in a nonacademic manner, and implement the core mathematics in their DL4J library. If you work in the embedded, desktop, and big data/Hadoop spaces and really want to understand deep learning, this is your book.

Author(s): Adam Gibson Josh Patterson

ISBN 10: 1491914254
ISBN 13: 9781491914250
Pages: 200

Find this book on Amazon

This books is in the following lists (1)

Over 55 Books on Machine Learning

Related YouTube Videos (add a video)

Add the YouTube URL below and submit:

To add a YouTube video, please copy the video's URL on YouTube and submit by clicking "Add".
The URL should look something like this: https://www.youtube.com/watch?v=CXQdBuuanI8

How to copy the videos URL from YouTube

No video yet, want to add one?

Related Articles (add an article)

Add an article URL below and submit:

To add an article, please paste the article's URL and submit by clicking "Add".
Below is an example of a valid URL:

How to copy and paste a webpage URL

No article found, do you know any related to this book?

Report an error with this book