Adaptive activation functions accelerate convergence in deep and physics-informed neural networks 5293 Computational Physics March 9, 2021 Brown University · Save Embed Cite Participate Recommend 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. Read Study Image courtesy of Ameya Jagtap Image courtesy of interviewee neural networks Log-in or Sign-up to Faculti Currently viewing as guest. You have insight(s) remaining for this month. Login Sign-up or Subscribe
