Deep neural networks for spam classification

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Deep neural networks for spam classification

This project elucidates the development of a spam filtering method using deep neural networks. A classification model employing algorithms such as Error Back Propagation (EBP) and Restricted Boltzmann Machines (RBM) is used to identify spam and non-spam emails. Moreover, a spam classification system...

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Bibliographic Details
Main Author:	Kasmani, Mohamed Khizer
Format:	Dissertation (University of Nottingham only)
Language:	English
Published:	2013
Subjects:	Deep Neural Networks Spam Classification Neural Networks Deep Belief Networks Boltzmann Algorithm.
Online Access:	https://eprints.nottingham.ac.uk/30908/

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