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

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