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)

PDF Abstract
No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper