Invention Grant
- Patent Title: System and method for hashed compressed weighting matrix in neural networks
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Application No.: US15853431Application Date: 2017-12-22
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Publication No.: US11531859B2Publication Date: 2022-12-20
- Inventor: Duanduan Yang , Xiang Sun
- Applicant: Samsung Electronics, Co. Ltd.
- Applicant Address: KR Suwon si
- Assignee: Samsung Electronics, Co. Ltd.
- Current Assignee: Samsung Electronics, Co. Ltd.
- Current Assignee Address: KR Suwon si
- Main IPC: G06N3/02
- IPC: G06N3/02 ; G06K9/62 ; G06N3/08 ; G06V10/46 ; G06F16/901 ; G06F17/16

Abstract:
A method for a neural network includes receiving an input from a vector of inputs, determining a table index based on the input, and retrieving a hash table from a plurality of hash tables, wherein the hash table corresponds to the table index. The method also includes determining an entry index of the hash table based on an index matrix, wherein the index matrix includes one or more index values, and each of the one or more index values corresponds to a vector in the hash table and determining an entry value in the hash table corresponding to the entry index. The method also includes determining a value index, wherein the vector in the hash table includes one or more entry values, and wherein the value index corresponds to one of the one or more entry values in the vector and determining a layer response.
Public/Granted literature
- US20190050709A1 SYSTEM AND METHOD FOR NEURAL NETWORKS Public/Granted day:2019-02-14
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