Spontaneous Concept Learning with Deep Autoencoder

In this study we investigate information processing in deep neural network models. We demonstrate that unsupervised training of autoencoder models of certain class can result in emergence of compact and structured internal representation of the input data space that can be correlated with higher lev...

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Bibliographic Details
Main Author: Serge Dolgikh
Format: Article
Language:English
Published: Atlantis Press 2018-11-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/25905178/view