A method and system for training a neural network to perform processing of digital data. The input data can be heterogeneous and the method or system obtains a multiple of loss signals. The input data can be selected so that the loss signals are balanced and can fulfill several conditions of the output data. When running a trained neural network on digital frame images, intermediate results of processing a frame can be used on later frames and in this way processing delay can be decreased.