Deep learning architectures for nonlinear operator functions and nonlinear inverse problems

Maarten V. de Hoop, Matti Lassas, Christopher A. Wong

We develop a theoretical analysis for special neural network architectures, termed operator recurrent neural networks, for approximating nonlinear functions whose inputs are linear…