Deep neural networks overcome the curse of dimensionality in the numerical approximation of semilinear partial differential equations

Petru A. Cioica-Licht, Martin Hutzenthaler, P. Tobias Werner

We prove that deep neural networks are capable of approximating solutions of semilinear Kolmogorov PDE in the case of gradient-independent, Lipschitz-continuous nonlinearities, whi…