Invention Grant
- Patent Title: Quality monitoring and hidden quantization in artificial neural network computations
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Application No.: US16274426Application Date: 2019-02-13
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Publication No.: US11625583B2Publication Date: 2023-04-11
- Inventor: Frederic Dumoulin , Ludovic Larzul
- Applicant: Mipsology SAS
- Applicant Address: FR Palaiseau
- Assignee: Mipsology SAS
- Current Assignee: Mipsology SAS
- Current Assignee Address: FR Palaiseau
- Agent Georgiy L. Khayet
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G06N3/082 ; G06F11/34 ; G06N3/08

Abstract:
Systems and methods for quality monitoring and hidden quantization in artificial neural network (ANN) computations are provided. An example method may include receiving a description of an ANN and input data associated with the ANN, performing, based on a quantization scheme, quantization of the ANN to obtain a quantized ANN, performing, based on the set of input data, ANN computations of the quantized ANN to obtain a result of the ANN computation for the input data, while performing the ANN computations, monitoring, a measure of quality of the ANN computations of the quantized ANN, determining that the measure of quality does not satisfy quality requirements, and in response to the determination, informing a user of an external system of the measure of quality, and adjusting, based on the measure of quality, the quantization scheme to be used in the ANN computations for further input data.
Public/Granted literature
- US20200257966A1 QUALITY MONITORING AND HIDDEN QUANTIZATION IN ARTIFICIAL NEURAL NETWORK COMPUTATIONS Public/Granted day:2020-08-13
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