Invention Grant
- Patent Title: Method and apparatus with neural network data input and output control
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Application No.: US16900007Application Date: 2020-06-12
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Publication No.: US11580393B2Publication Date: 2023-02-14
- Inventor: Hyung-Dal Kwon
- 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: NSIP Law
- Priority: KR10-2019-0176097 20191227
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04 ; H03M7/30

Abstract:
A neural network deep learning data control apparatus includes: a memory; an encoding circuit configured to receive a data sequence, generate a compressed data sequence in which consecutive invalid bits in a bit string of the data sequence are compressed into a single bit of the compressed data sequence, generate a validity determination sequence indicating a valid bit and an invalid bit in a bit string of the compressed data sequence, and write the compressed data sequence and the validity determination sequence to the memory; and a decoding circuit configured to read the compressed data sequence and the validity determination sequence from the memory, and determine a bit in the bit string of the compressed data sequence set for transmission to a neural network circuit, based on the validity determination sequence, such that the neural network circuit omits an operation with respect to non-consecutive invalid bits.
Public/Granted literature
- US20210201133A1 METHOD AND APPARATUS WITH NEURAL NETWORK DATA INPUT AND OUTPUT CONTROL Public/Granted day:2021-07-01
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