Method for calculating a neuron layer of a multi-layer perceptron model with simplified activation function
US11216721B2 · kind B2 · utility
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Key dates
| Filing date | Sep 4, 2017 |
| Grant date | Jan 4, 2022 |
| Priority date | — |
| Expiry date | Aug 31, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/063
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for calculating a neuron layer of a multi-layer perceptron model that includes a permanently hardwired processor core configured in hardware for calculating a permanently predefined processing algorithm in coupled functional blocks, a neuron of a neuron layer of the perceptron model being calculated with the aid of an activation function, the activation function corresponding to a simplified sigmoid function and to a simplified tan h function, the activation function being formed by zero-point mirroring of the negative definition range of the exponential function.
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