Online representation learning with single and multi-layer Hebbian networks for image classification

Unsupervised learning permits the development of algorithms that are able to adapt to a variety of different datasets using the same underlying rules thanks to the autonomous discovery of discriminating features during training. Recently, a new class of Hebbian-like and local unsupervised learning r...

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Bibliographic Details
Main Authors: Yanis Bahroun, Andrea Soltoggio
Format: Default Conference proceeding
Published: 2017
Subjects:
Other information and computing sciences not elsewhere classified
Classification
Competitive learning
Feature learning
Hebbian learning
Online algorithm
Neural networks
Sparse coding
Unsupervised learning
Information and Computing Sciences not elsewhere classified
Online Access:https://hdl.handle.net/2134/25474
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