Deep Learning: A Practitioner's Approach

Deep Learning: A Practitioner's Approach

English | 28 July 2017 | ISBN: 1491914254 | ASIN: B074D5YF1D | 538 Pages | AZW3 | 7.15 MB

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning-especially deep neural networks-make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks.

Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J.

Dive into machine learning concepts in general, as well as deep learning in particular
Understand how deep networks evolved from neural network fundamentals
Explore the major deep network architectures, including Convolutional and Recurrent
Learn how to map specific deep networks to the right problem
Walk through the fundamentals of tuning general neural networks and specific deep network architectures
Use vectorization techniques for different data types with DataVec, DL4J's workflow tool
Learn how to use DL4J natively on Spark and Hadoop


[Fast Download] Deep Learning: A Practitioner's Approach

Ebooks related to "Deep Learning: A Practitioner's Approach" :
Expert Consolidation in Oracle Database 12c
Pro Java Clustering and Scalability: Building Real-Time Apps with Spring, Cassandra, Redis, WebSocke
Robust Representation for Data Analytics: Models and Applications
SQL Server 2012 Integration Services Design Patterns
A Survivor¡äs Guide to R: An Introduction for the Uninitiated and the Unnerved
SQL Demystified
The Manga Guide to Databases
Relational Databases and Knowledge Bases
Mastering ElasticSearch 5.0 - Third Edition
Design and Use of Relational Databases in Chemistry
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.