Sparse, guided feature connections in an Abstract Deep Network

16 Dec 2014Anthony KnittelAlan Blair

We present a technique for developing a network of re-used features, where the topology is formed using a coarse learning method, that allows gradient-descent fine tuning, known as an Abstract Deep Network (ADN). New features are built based on observed co-occurrences, and the network is maintained using a selection process related to evolutionary algorithms... (read more)

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