- 专利标题: SYSTEM AND METHOD FOR A NEURAL NETWORK
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申请号: US16810582申请日: 2020-03-05
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公开(公告)号: US20200302266A1公开(公告)日: 2020-09-24
- 发明人: Pierre Demaj , Laurent Folliot
- 申请人: STMicroelectronics (Rousset) SAS
- 优先权: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@120f5c10
- 主分类号: G06N3/04
- IPC分类号: G06N3/04
摘要:
In accordance with an embodiment, a method includes reducing a size of at least one initial parameter of each layer of an initial multilayer neural network to obtain for each layer a set of new parameters defining a new neural network, wherein each new parameter of the set of new parameters has its data represented in two portions comprising an integer portion and a fractional portion; implementing the new neural network using a test input data set applied only once to each layer; determining a distribution function or a density function resulting from the set of new parameters for each layer; and based on the determined distribution function or density function, adjusting a size of a memory area allocated to the fractional portion and a size of the memory area allocated to the integer portion of each new parameter associated with each layer.
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