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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 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

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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