Patent ID: 11886977
Assignee: CANON KABUSHIKI KAISHA
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. A non-transitory computer-readable storage medium having stored therein a computer program which causes a processor of a computing apparatus that performs activation function computation of a neural network to perform:
retaining an approximation table that approximately represents an activation function of the neural network, the approximation table mapping between a plurality of discrete input samples of the activation function and a plurality of output samples, the plurality of output samples respectively corresponding to the plurality of input samples; and
converting an input value of the activation function computation to an output value using the approximation table when the activation function is selected for the activation function computation,
wherein the plurality of input samples of the approximation table are set such that input samples more distant from a reference point in the domain of the activation function have a larger neighboring sample interval, and
wherein the neighboring sample interval is set such that the neighboring sample interval increases, from a basic sample interval at the reference point as a baseline, by a constant ratio or a constant increment with increasing distance from the reference point.