Investigation of activation functions in deep belief network

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Investigation of activation functions in deep belief network

© 2017 IEEE. Deep Belief Network (DBN) is made up of stacked Restricted Boltzmann Machine layers associated with global weight fine-tuning for pattern recognition. However, DBN suffers from vanishing gradient problem due to the saturation characteristic of activation function. Therefore, the selecti...

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Bibliographic Details
Main Authors:	Lau, M., Lim, Hann
Format:	Conference Paper
Published:	2017
Online Access:	http://hdl.handle.net/20.500.11937/54534

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