Computer system and model training method

Abstract

Provided is a computer system for generating a neural network (NN) used for a task including a training unit that calculates a weighting factor between a reservoir and an output layer using training data, a first storage unit that stores, as node activity information, information on a node activity level of a node included in the reservoir, and a second storage unit that stores model information. When receiving a training execution request for a second task after a training process of a first task is completed, the training unit calculates a weighting factor of the NN used for a third task obtained by combining the first task and the second task, updates the model information based on the calculated weighting factor, and updates the node activity information based on the node activity measured during execution of the training process of the third task.