Artificial neural network and method of controlling fixed point in the same
AssigneeSamsung Electronics Co., Ltd.
InventorsJae-Gon Kim, Kyoung-Young Kim, Do-Yun Kim, Jun-Seok Park, Sang-Hyuck Ha
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AssigneeSamsung Electronics Co., Ltd.
InventorsJae-Gon Kim, Kyoung-Young Kim, Do-Yun Kim, Jun-Seok Park, Sang-Hyuck Ha
Estimating the term…
An artificial neural network (ANN) system includes a processor, a virtual overflow detection circuit and a data format controller. The processor performs node operations with respect to a plurality of nodes included in each layer of an ANN to obtain a plurality of result values of the node operations and performs a quantization operation on the obtained plurality of result values based on a k-th fixed-point format for a current quantization of the each layer to obtain a plurality of quantization values. The virtual overflow detection circuit generates a virtual overflow information indicating a distribution of valid bit numbers of the obtained plurality of quantization values. The data format controller determines a (k+1)-th fixed-point format for a next quantization of the each layer based on the generated virtual overflow information. An overflow and/or an underflow are prevented efficiently by controlling the fixed-point format using the virtual overflow.
An artificial neural network (ANN) system comprising:
An artificial neural network (ANN) system, comprising:
A method of controlling a fixed point format in an artificial neural network (ANN) system, the method comprising:
Dependencies are inferred from the claim text.