Sparse Feature Learning for Deep Belief Networks

@inproceedings{Ranzato2007SparseFL,
  title={Sparse Feature Learning for Deep Belief Networks},
  author={Marc'Aurelio Ranzato and Y-Lan Boureau and Yann LeCun},
  booktitle={NIPS},
  year={2007}
}
Unsupervised learning algorithms aim to discover the struc ture hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the raw input. Many unsupervised methods are based on re c structing the input from the representation, while constraining the repr esentation to have certain desirable properties (e.g… CONTINUE READING

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