The Hopfield model of neural networks
The Hopfield model of neural networks
- Event time: 11:30am until 12:30pm
- Event date: 6th November 2019
- Speaker: Francesco Cagnetta (Formerly School of Physics & Astronomy, University of Edinburgh)
- Location: Room 2511, James Clerk Maxwell Building (JCMB) James Clerk Maxwell Building Peter Guthrie Tait Road Edinburgh EH9 3FD GB
Event details
I will use the Hopfield model as a common thread to review some aspects of the statistical mechanics of neural networks. Starting from the definition of the model and connection with spin glasses, I will discuss it's representation as a restricted Boltzmann machine and how, within the latter representation, one can witness the emergence of the layered structure typical of deep learning methods.
The talk will serve as a presentation of the reading group---another weekly meeting focused on an aspect of theoretical statistical mechanics.
About Statistical Physics and Complexity Group meetings
This is a weekly series of webinars on theoretical aspects of Condensed Matter, Biological, and Statistical Physics. It is open to anyone interested in research in these areas..
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