Adaptive activation functions accelerate convergence in deep and physics-informed neural networks

Ameya Jagtap discusses the nonlinear Klein-Gordon equation, which has smooth solutions, the nonlinear Burgers equation, which can admit high gradient solutions, and the Helmholtz equation.

Image courtesy of Ameya Jagtap

Image courtesy of interviewee. March 9, 2021

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