Unsupervised feature learning from finite data by message passing: discontinuous versus continuous phase transition

12 Aug 2016 Haiping Huang Taro Toyoizumi

Unsupervised neural network learning extracts hidden features from unlabeled training data. This is used as a pretraining step for further supervised learning in deep networks... (read more)

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