Method and information processing apparatus for performing transfer learning while suppressing occurrence of catastrophic forgetting

Abstract

The neural network includes layers, and the layers each include a plurality of units, the plurality of units each have a weight coefficient associated with each input to a unit, and an importance parameter indicating importance of the weight coefficient. The method includes: in learning of a task, adjusting a first weight coefficient based on the importance parameter of the first weight coefficient and a first gradient of the first weight coefficient determined using a training set; and after the learning has been completed, determining, based on the training set, respective second gradients of a plurality of second weight coefficients included in a first layer including the first weight coefficient, and calculating the importance parameter of the first weight coefficient to be used in learning of a next task based on the respective second gradients.