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Finding hidden (statistical) structure in unlabelled data, including clustering and feature extraction for dimensionality reduction.

2 votes

Intuition behind sparsity in over-complete sparse auto-encoders

Are you familiar with the notion of over-fitting? The problem here is that a complete auto-encoder has too many degrees of freedom, so it can easily match any input data without constraining how it m …
Dan Oblinger's user avatar