Asymptotic analysis of deep learning algorithms
<p>We investigate the asymptotic properties of deep residual networks as the number of layers increases. We first show the existence of scaling regimes for trained weights markedly different from those implicitly assumed in the neural ODE literature. We study the convergence of the hidden stat...
Main Author: | Rossier, A |
---|---|
Other Authors: | Cont, R |
Format: | Thesis |
Language: | English |
Published: |
2023
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Subjects: |
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