Deep learning image classification oriented to heterogeneous computing device

    公开(公告)号:US11887353B1

    公开(公告)日:2024-01-30

    申请号:US18549256

    申请日:2023-07-18

    Applicant: ZHEJIANG LAB

    CPC classification number: G06V10/764

    Abstract: The present disclosure relates to deep learning image classification oriented to heterogeneous computing devices. According to embodiments of the present disclosure, the deep learning model can be modeled as an original directed acyclic graph, with nodes representing operators of the deep learning model and directed edges representing data transmission between the operators. Then, a new directed acyclic graph is generated by replacing the directed edges in the original directed acyclic graph with new nodes and adding two directed edges to maintain a topological structure.

Patent Agency Ranking