CPC G06N 3/088 (2013.01) [G06N 3/04 (2013.01)] | 20 Claims |
1. A method of performing a class incremental learning in a neural network apparatus, the method comprising:
training an autoencoder using first input embeddings with respect to a first class group;
calculating a contribution value of each of parameters of the autoencoder and calculating a first plurality of representative values with respect to each of at least one first class included in the first class group in the training of the autoencoder;
retraining the autoencoder using second input embeddings with respect to a second class group; and
updating the contribution value of the each of the parameters, for the retraining, and calculating a second plurality of representative values with respect to each of at least one second class included in the second class group in the retraining the autoencoder based on a class of the first class group.
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