公开(公告)号：US20190147338A1

公开(公告)日：2019-05-16

申请号：US16189264

申请日：2018-11-13

Applicant: STMICROELECTRONICS S.r.l.

Inventor： Danilo Pietro PAU ,  Emanuele PLEBANI ,  Fabio Giuseppe DE AMBROGGI ,  Floriana GUIDO ,  Angelo BOSCO

IPC: G06N3/08 ,  G06N3/04 ,  G06N5/00

Abstract: A neural network classifies an input signal. For example, an accelerometer signal may be classified to detect human activity. In a first convolutional layer, two-valued weights are applied to the input signal. In a first two-valued function layer coupled at input to an output of the first convolutional layer, a two-valued function is applied. In a second convolutional layer coupled at input to an output of the first two-valued functional layer, weights of the second convolutional layer are applied. In a fully-connected layer coupled at input to an output of the second convolutional layer, two-valued weights of the fully connected layer are applied. In a second two-valued function layer coupled at input to an output of the fully connected layer, a two-valued function of the second two-valued function layer is applied. A classifier classifies the input signal based on an output signal of second two-valued function layer.