Lecture

Neural Networks Convergence

Description

This lecture covers the convergence of neural networks by leveraging the two timescale regime, demonstrating how to fit learned parameters and achieve alternating regret in the presence of noise. The content also includes a discussion on the effective fitting of parameters and the schedule for the NeurIPS 2023 event at EPFL.

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Official source

https://mediaspace.epfl.ch/media/0_w4491j0b

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

Signal processing: Digital image processing

Mathematics

Algebra: Linear algebra

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