Lecture

Hopfield Model: Memory and Dynamics

Description

This lecture covers the Hopfield Model, a neural network used for associative memory. It explains the learning of associations, storage capacity, overlap as a measure of similarity, and the dynamics of the model. The instructor discusses the model's rules, interactions, prototypes, and its performance with random and correlated patterns.

In MOOCs (2)

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_cqq4ngdz

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

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