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Approximation by neural network: a problem of gradient flow

Giovanni Maria Cittaro
Schedule: 
Tuesday, May 25, 2021 - 11:00
Location: 
Online
Abstract: 

The aim of this seminar is to show good approximation results of neural networks using the Stochastic Gradient Descent method. Approaching the problem in the language of gradient flow permits us to achieve great accuracy even for high dimensional problems. In particular, we will look at the size of the fluctuations and we will cover an example to understand some of the theoretical results.

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https://sissa-it.zoom.us/j/84672149391?pwd=VWFjajBXTE9Qb1VrdjdpNVFCYzdSdz09

Meeting ID: 846 7214 9391
Passcode: 790845

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