NEURAL NETWORK SYSTEM, SHARE COMPUTING DEVICE, NEURAL NETWORK LEARNING METHOD, AND PROGRAM

摘要

PROBLEM TO BE SOLVED: To provide a neural network system with which it is possible to make confidential not just learning data but also weight data obtained as the result of learning.;SOLUTION: A neural network system of the present invention includes a management device as a device capable of generating a share and restoring a share, and includes a share computing device as a device capable of adding shares, multiplying shares, multiplying a share by a constant, and determining the relative magnitudes of shares. A function where f(X)=0 when X≤0 and f(X)=X when X0 is used as an activation function f(X). When this activation function f(X) and its derived function f'(X) are used, it is possible to make confidential not just learning data but also weight data obtained as the result of learning by the management device capable of generating a share and restoring a share and the share computing device capable of adding shares, multiplying shares, multiplying a share by a constant, and determining the relative magnitudes of shares.;SELECTED DRAWING: Figure 1;COPYRIGHT: (C)2018,JPO&INPIT