- Patent Title: Method and system for reducing deep neural network architectures
-
Application No.: US15895683Application Date: 2018-02-13
-
Publication No.: US11734567B2Publication Date: 2023-08-22
- Inventor: Shiva Prasad Kasiviswanathan , Nina Narodytska , Hongxia Jin
- 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
- Agency: Sherman IP LLP
- Agent Kenneth L. Sherman; Steven Laut
- Main IPC: G06N3/082
- IPC: G06N3/082 ; G06N3/045

Abstract:
A method includes deploying a neural network (NN) model on an electronic device. The NN model is generated by training a first NN architecture on a first dataset. A first function defines a first layer of the first NN architecture. The first function is constructed based on approximating a second function applied by a second layer of a second NN architecture. Retraining of the NN model is enabled on the electronic device using a second data set.
Public/Granted literature
- US20190251440A1 METHOD AND SYSTEM FOR REDUCING DEEP NEURAL NETWORK ARCHITECTURES Public/Granted day:2019-08-15
Information query