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Deep Learning with Hadoop

You're reading from  Deep Learning with Hadoop

Product type Book
Published in Feb 2017
Publisher Packt
ISBN-13 9781787124769
Pages 206 pages
Edition 1st Edition
Languages
Author (1):
Dipayan Dev Dipayan Dev
Profile icon Dipayan Dev

Table of Contents (16) Chapters

Deep Learning with Hadoop
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Dedication
Preface
Introduction to Deep Learning Distributed Deep Learning for Large-Scale Data Convolutional Neural Network Recurrent Neural Network Restricted Boltzmann Machines Autoencoders Miscellaneous Deep Learning Operations using Hadoop References

Setting up Deeplearning4j on Hadoop YARN


Deeplearning4j primarily works on networks having multiple layers. To get started working with Deeplearning4j, one needs to get accustomed with the prerequisites, and how to install all the dependent software. Most of the documentation can be easily found on the official website of Deeplearning4j at https://deeplearning4j.org/ [88].

In this section of the chapter, we will help you to get familiar with the code of Deeplearning4j. Initially, we will show the implementation of a simple operation of a multilayer neural network with Deeplearning4j. The later part of the section will discuss distributed deep learning with Deeplearning4j library. Deeplearning4j trains distributed deep neural network on multiple distributed GPUs using Apache Spark. The later part of this section will also introduce the setup of Apache Spark for Deeplearning4j.

Getting familiar with Deeplearning4j

This part will mainly introduce the 'Hello World' programs of deep learning with...

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