In one embodiment, a system, comprising: a neural network, configured to: receive electromagnetic field measurement data from an object of interest as input to the neural network, the neural network trained on labeled data; and reconstruct a three-dimensional (3D) distribution image of a physical property of the object of interest from the received electromagnetic field measurement data, the reconstruction implemented without performing a forward solve during the reconstruction.