CPC G06N 3/08 (2013.01) [G06F 17/16 (2013.01); G06F 17/18 (2013.01); G06N 3/063 (2013.01); G06N 5/04 (2013.01)] | 9 Claims |
1. A learning device comprising:
a memory; and
one or more processors coupled to the memory and configured to:
generate a transformation matrix from learning data in which feature quantities and target values are held in a corresponding manner; and
learn about parameters of a neural network which includes:
nodes equal in number to number of rows of the transformation matrix;
a first output layer representing a first estimation distribution according to values of the nodes; and
a second output layer representing a second estimation distribution decided according to a product of the transformation matrix and the first estimation distribution.
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