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Continuous in Depth Neural Networks2008.02389v1 by siminchang2023 is a document available to read on EtoBox.

What is Continuous in Depth Neural Networks2008.02389v1 about?

The document introduces ContinuousNets, a continuous-in-depth generalization of residual networks (ResNets), which enhances their ability to model continuous dynamical systems by embedding them in higher-order numerical integration schemes. It demonstrates that traditional ResNets lack the properties of meaningful numerical integrators and proposes a new architecture that allows for flexibility in training and inference through manifestation invariance. ContinuousNets can be evaluated using various discrete

Author

siminchang2023

Language

EN