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公开(公告)号:US11537840B2
公开(公告)日:2022-12-27
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
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.