Title:
METHOD AND APPARATUS FOR TRAINING NEURAL NETWORK, AND COMPUTER READABLE STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/111002
Kind Code:
A1
Abstract:
An apparatus (200) and method for training a neural network, and an integrated circuit board. The apparatus (200) is embodied by a computing device (610) in a combined processing device (600). The combined processing device (600) can further comprise a universal interconnect interface and other processing devices (606). The computing device (610) interacts with the other processing devices (606) to jointly complete a user-specified computing operation. The combined processing device (600) can further comprise a storage device (608). The storage device (608) is separately connected to the computing device (610) and the other processing devices (606) and is used for data of the computing device (610) and the other processing devices (606). The present invention can speed by the training of a neural network.
Inventors:
ZHOU SHIYI (CN)
LIU SHAOLI (CN)
LIU SHAOLI (CN)
Application Number:
PCT/CN2021/119122
Publication Date:
June 02, 2022
Filing Date:
September 17, 2021
Export Citation:
Assignee:
CAMBRICON TECH CORP LTD (CN)
International Classes:
G06N3/063
Foreign References:
| CN110073371A | 2019-07-30 | |||
| CN111612147A | 2020-09-01 | |||
| CN110070119A | 2019-07-30 | |||
| CN110428042A | 2019-11-08 | |||
| CN110619392A | 2019-12-27 | |||
| US20180121796A1 | 2018-05-03 |
Attorney, Agent or Firm:
VCAN IP LAW FIRM (CN)
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