Invention Grant
- Patent Title: Method and device for operating a neural network in a memory-efficient manner
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Application No.: US16298335Application Date: 2019-03-11
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Publication No.: US11715019B2Publication Date: 2023-08-01
- Inventor: Andre Guntoro , Armin Runge , Christoph Schorn , Jaroslaw Topp , Sebastian Vogel , Juergen Schirmer
- Applicant: Robert Bosch GmbH
- Applicant Address: DE Stuttgart
- Assignee: ROBERT BOSCH GMBH
- Current Assignee: ROBERT BOSCH GMBH
- Current Assignee Address: DE Stuttgart
- Agency: Norton Rose Fulbright US LLP
- Agent Gerard Messina
- Priority: DE 2018203709.4 2018.03.12
- Main IPC: G06N3/084
- IPC: G06N3/084 ; G06N3/04 ; G06N3/10 ; G06F17/16

Abstract:
A method for operating a calculation system including a neural network, in particular a convolutional neural network, the calculation system including a processing unit for the sequential calculation of the neural network and a memory external thereto for buffering intermediate results of the calculations in the processing unit, including: incrementally calculating data sections, which each represent a group of intermediate results, with the aid of a neural network; lossy compression of one or multiple of the data sections to obtain compressed intermediate results; and transmitting the compressed intermediate results to the external memory.
Public/Granted literature
- US20190279095A1 METHOD AND DEVICE FOR OPERATING A NEURAL NETWORK IN A MEMORY-EFFICIENT MANNER Public/Granted day:2019-09-12
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