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Autoencoder Neural Networks

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ISBN-10: 3838309464

ISBN-13: 9783838309460

Edition: N/A

Authors: Chun Chet Tan

List price: $42.00
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Autoencoders are feedforward neural networks which can have more than one hidden layer. These networks attempt to reconstruct the input data at the output layer. Since the size of the hidden layer in the autoencoders is smaller than the size of the input data, the dimensionality of input data is reduced to a smaller-dimensional code space at the hidden layer. However, training a multilayer autoencoder is tedious. This is due to the fact that the weights at deep hidden layers are hardly optimized. The research work has focused on the characteristics, training and performance evaluation of autoencoders. The concepts of stacking and Restricted Boltzmann Machine have also been discussed in…    
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Book details

List price: $42.00
Publisher: Lambert Academic Publishing
Binding: Paperback
Pages: 96
Size: 6.00" wide x 9.00" long x 0.23" tall
Weight: 0.330
Language: English