SYSTEMS, DEVICES AND METHODS FOR TRANSFER LEARNING WITH A MIXTURE OF EXPERTS MODEL

摘要

A computer-implemented method for selecting training data for a neural network, which includes representing a dataset with a mixture of experts model, the mixture of experts model comprising one or more trained neural networks; and generating an application dataset based on one or more performance indicators of one or more of the trained neural networks. Representing the dataset with the mixture of experts model can include partitioning the dataset into one or more data subsets and training one or more neural networks each on one of the data subsets to generate the one or more trained neural networks. A platform for training a neural network and a computer product for carrying out the steps of the method are also described.