Data Communications and networking
DL4J and Beyond
Databases and Transaction Processing
DL4J and Beyond
Datenanalyse mit Python
DL4J and Beyond
Datenbanken
DL4J and Beyond
Datenbanksysteme
DL4J and Beyond
Datenbanksysteme
DL4J and Beyond
Datenschutz-Grundverordnung, BDSG
DL4J and Beyond
Datenschutzrecht
DL4J and Beyond
Debian-GNU-Linux-4-Anwenderhandbuch
DL4J and Beyond
Deep Learning mit Python
DL4J and Beyond
Der Entity-Relationship-Ansatz zum logischen Systementwurf
DL4J and Beyond
Der LaTeX-Begleiter
DL4J and Beyond
Der Systemtest
DL4J and Beyond
Deep Learning
DL4J and Beyond
description
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.
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pages
200
Year published
2015
Publisher
O'Reilly Media
Issn
978-1-4919-1425-0
Language
en
categories
id
I.5.1 PAT17