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NTK: unlocking the mysteries of deep learning

16 Mar 2021

In 2018, Clément Hongler (EPFL) and his team found a new way of understanding artificial neural networks. It has since then gathered a lot of attention.

 

Clément Hongler and his team from the Chair of Statistical Field Theory found a new way of understanding Artificial Neural Networks. Their 2018 paper has gathered a lot of attention from the scientific community and is now frequently used by researchers when they want to understand the training of large neural networks.

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Text: EPFL News

Phase I & II research project(s)

  • Statistical Mechanics

ICMP 2021 update: the event will be held as intended

New member: Tatiana Tikhonovskaia (UNIGE, A. Alekseev Group)

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The National Centres of Competence in Research (NCCRs) are a funding scheme of the Swiss National Science Foundation

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