Neural network optimization method, and neural network optimization device

A neural network optimization device, comprising:

• a processor;
• and
• a memory,
• wherein the processor performs first processing and second processing by using the memory,
• the first processing being processing of, for each of a plurality of preset layers included in a first neural network that outputs, upon input of evaluation data that indicates an object, a recognition result of the object, performing bit reduction that is processing of reducing bit precision of parameters that constitute the preset layer to derive a degree of influence exerted on the recognition result of the first neural network by the bit reduction performed on the layer, and
• the second processing being processing of performing the bit reduction on each of at least one of the plurality of preset layers included in the first neural network that is identified based on the degree of influence derived for each of the plurality of preset layers to generate a second neural network.