Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks

12 Dec 2017Sho SonodaNoboru Murata

The feature map obtained from the denoising autoencoder (DAE) is investigated by determining transportation dynamics of the DAE, which is a cornerstone for deep learning. Despite the rapid development in its application, deep neural networks remain analytically unexplained, because the feature maps are nested and parameters are not faithful... (read more)

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