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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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Table of Contents (9) Chapters Close

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

Chapter 4. Recurrent Neural Network

 

I think the brain is essentially a computer and consciousness is like a computer program. It will cease to run when the computer is turned off. Theoretically, it could be re-created on a neural network, but that would be very difficult, as it would require all one's memories.

 
 --Stephen Hawking

To solve every problem, people do not initiate their thinking process from scratch. Our thoughts are non-volatile, and it is persistent just like the Read Only Memory (ROM) of a computer. When we read an article, we understand the meaning of every word from our understanding of earlier words in the sentences.

Let us take a real life example to explain this context a bit more. Let us assume we want to make a classification based on the events happening at every point in a video. As we do not have the information of the earlier events of the video, it would be a cumbersome task for the traditional deep neural networks to find some distinguishing...

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