Machine learning model compression system, pruning method, and computer program product

A pruning method implemented by a computer, the method comprising:

• selecting a layer of a trained machine learning model in order from an output side to an input side of the trained machine learning model;
• calculating, in units of an input channel, a first evaluation value evaluating a plurality of weights included in the selected layer;
• sorting, in ascending order or descending order, the first evaluation values each calculated in units of the input channel;
• selecting a given number of the first evaluation values in ascending order of the first evaluation value;
• and
• deleting the input channels used for calculation of the selected first evaluation

A computer program product comprising a non-transitory computer-readable recording medium on which an executable program is recorded, the program instructing the computer to:

• select a layer of a trained machine learning model in order from an output side to an input side of the trained machine learning model;
• calculate, in units of an input channel, a first evaluation value evaluating a plurality of weights included in the selected layer;
• sort, in ascending order or descending order, the first evaluation values each calculated in units of the input channel;
• select a given number of the first evaluation values in ascending order of the first evaluation values;
• and
• delete the input channels used for calculation of the selected first evaluation values.