Building efficient deep Hebbian networks for image classification tasks

Multi-layer models of sparse coding (deep dictionary learning) and dimensionality reduction (PCANet) have shown promise as unsupervised learning models for image classification tasks. However, the pure implementations of these models have limited generalisation capabilities and high computational co...

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Bibliographic Details

Main Authors:	Yanis Bahroun, Eugenie Hunsicker, Andrea Soltoggio
Format:	Default Conference proceeding
Published:	2017
Subjects:	Other information and computing sciences not elsewhere classified Sparse coding Dimensionality reduction Hebbian/anti-Hebbian learning MultiDimensional scaling Biologically plausible learning rules Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/25475
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