CPC G06N 3/08 (2013.01) [G06N 3/04 (2013.01)] | 27 Claims |
1. A method of processing data in a neural network, the method comprising:
identifying a sparsity among information, included in input data, based on valid information or invalid information included in the input data;
generating a rearranged input data by rearranging the input data based on the sparsity among the information indicating a distribution of the invalid values included in the input data; and
generating, by performing a convolution operation on the rearranged input data and weights of the neural network, an output data.
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