Machine learning model construction device, numerical control, machine learning model construction method, and non-transitory computer readable medium encoded with a machine learning model construction program

A non-transitory computer-readable recording medium encoded with a machine learning model construction program for causing a computer to function as a control circuit of a machine learning model construction device which includes a learning circuit realized by hardware capable of constructing a neural network model according to a setting value including at least a flag representing a value of “1” for a case in which a perceptron among a plurality of perceptrons in the learning circuit is not used, and a value of “0” for a case in which a perceptron among a plurality of perceptrons in the learning circuit is used, the machine learning model construction program causing the control circuit to perform steps comprising:

• a step of controlling to calculate the setting value as a value for constructing a predetermined neural network model in the learning circuit, and
• a step of constructing a neural network model in the learning circuit, by setting an output of a multiplier in each perceptron included in the learning circuit, to any one of a value arrived at by multiplying a weighting value by an input of the multiplier, a value input to the multiplier, and a value of zero, according to the setting value, and setting a sum total of outputs of multipliers in each perceptron as the output of each perceptron.

A method of constructing a machine learning model performed by a machine learning model construction device including a learning circuit realized by hardware capable of constructing a neural network model according to a setting value including a flag representing a value of “1” for a case in which a perceptron among a plurality of perceptrons in the learning circuit is not used, and a value of “0” for a case in which a perceptron among the plurality of perceptrons in the learning circuit is used, the method comprising:

• a step of controlling to calculate the setting value as a value for constructing a predetermined neural network model in the learning circuit, and
• a step of constructing a neural network model in the learning circuit, by setting an output of a multiplier in each perceptron included in the learning circuit, to any one of a value produced by multiplying a weighting value by an input of the multiplier, a value input to the multiplier, and a value of zero, according to the setting value, and setting a sum total of outputs of multipliers in each perceptron as the output of each perceptron.