CPC G06N 3/063 (2013.01) [G06F 9/3001 (2013.01); G06F 9/30145 (2013.01); G06F 9/3802 (2013.01); G06F 17/16 (2013.01); G06N 3/082 (2013.01); G06N 20/10 (2019.01)] | 19 Claims |
1. A processor-implemented data processing method, the method comprising:
generating compressed data of first matrix data of a neural network based on a sparsity characteristic of the first matrix data;
partitioning the compressed data into rows;
respectively storing pieces of the partitioned compressed data in first regions of a plurality of banks;
copying portions of the pieces of the partitioned compressed data stored in the first regions and storing the portions in a second region of one of the plurality of banks.
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