Abstract: According to one embodiment, a learning apparatus includes a processor. The processor performs, on a neural network model, an adaptation processing that includes at least either insertion of an activation function, or correction of the activation function. The processor generates a trained model by training the neural network model on which the adaptation processing has been performed. The processor performs pruning on the trained model to generate a reconstructed model from which a parameter has been reduced.

Abstract: According to one embodiment, a learning apparatus includes a processor. The processor trains a neural network model having a plurality of pathways and generate a trained model. The processor performs pruning on the trained model and calculate a number of remaining parameters of each of the pathways. The processor generates a candidate model for reconstruction, the candidate model for reconstruction being generated by deleting a pathway in which the number of parameters is equal to or less than a threshold. The processor determines whether or not deletion of a further pathway included in the candidate model for reconstruction is possible. If it is determined that deletion of the further pathway is possible, the candidate model for reconstruction is subjected to each of the training, the pruning, and the generating.

Abstract: According to one embodiment, a learning apparatus includes a processing circuit. The processing circuit acquires a first training condition and a first model trained in accordance with the first training condition, sets a second training condition used to reduce a model size of the first model, different from the first training condition, in accordance with the second training condition and based on the first model, trains a second model whose model size is smaller than that of the first model, and in accordance with a third training condition that is not the same as the second training condition and complies with the first training condition, trains a third model based on the second model.