Elastic SDAE: An Adaptive Noise Selection for Stacked Denoising Auto encoder

This paper proposes an Elastic Stacked Denoising Autoencoder model, an upgraded model of a stacked autoencoder algorithm. It works on the basis of reconstruction through learning from the input towards generating the same as the output. But, the selection of noise levels in the autoencoder is determ...

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Vydané v:	2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) s. 1 - 5
Hlavní autori:	Gokulnath, B.V., Devi G., Usha
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.02.2020
Predmet:	Annealing Autoencoders Elastic Stacked Denoising Autoencoder Feature Extraction Neurons Noise Noise level Noise reduction Plant diseases Plant Village Representation learning Training
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