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Deep Learning with Hadoop

You're reading from   Deep Learning with Hadoop Distributed Deep Learning with Large-Scale Data

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781787124769
Length 206 pages
Edition 1st Edition
Languages
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Author (1):
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Dipayan Dev Dipayan Dev
Author Profile Icon Dipayan Dev
Dipayan Dev
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Toc

Table of Contents (9) Chapters Close

Preface 1. Introduction to Deep Learning FREE CHAPTER 2. Distributed Deep Learning for Large-Scale Data 3. Convolutional Neural Network 4. Recurrent Neural Network 5. Restricted Boltzmann Machines 6. Autoencoders 7. Miscellaneous Deep Learning Operations using Hadoop 1. References

Conventions

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "The .build() function is used to build the layer."

A block of code is set as follows:

public static final String DATA_URL =     
  "http://ai.stanford.edu/~amaas/data/sentiment/*";

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

MultiLayerNetwork model = new MultiLayerNetwork(getConfiguration());
Model.init();

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "In simple words, any neural network with two or more layers (hidden) is defined as a deep feed-forward network or feed-forward neural network."

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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