Invention Grant
- Patent Title: Method and system for training of neural networks using continuously differentiable models
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Application No.: US16122789Application Date: 2018-09-05
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Publication No.: US11574193B2Publication Date: 2023-02-07
- Inventor: Borna J. Obradovic , Titash Rakshit , Jorge A. Kittl , Ryan M. Hatcher
- Applicant: Samsung Electronics Co., LTD.
- Applicant Address: KR Gyeonggi-do
- Assignee: Samsung Electronics Co., LTD.
- Current Assignee: Samsung Electronics Co., LTD.
- Current Assignee Address: KR Gyeonggi-do
- Agency: Lewis Roca Rothgerber Christie LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N5/04 ; G06N3/04

Abstract:
A method and system for training a neural network are described. The method includes providing at least one continuously differentiable model of the neural network. The at least one continuously differentiable model is specific to hardware of the neural network. The method also includes iteratively training the neural network using the at least one continuously differentiable model to provide at least one output for the neural network. Each iteration uses at least one output of a previous iteration and a current continuously differentiable model of the at least one continuously differentiable model.
Public/Granted literature
- US20190332943A1 METHOD AND SYSTEM FOR TRAINING OF NEURAL NETS Public/Granted day:2019-10-31
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