Machine Learning Network Model Compression

    公开(公告)号:US20210342694A1

    公开(公告)日:2021-11-04

    申请号:US17371590

    申请日:2021-07-09

    Abstract: A first aspect relates to a computer-implemented method for performing model compression. The method includes compressing a machine learning (ML) network model comprising a multiple layer structure to produce a compressed ML network model. The compressed ML network model maintains the multiple layer structure of the ML network model. The method generates a model file for the compressed ML network model. The model file includes the compressed ML network model and decoding information for enabling the ML network model to be decompressed and executed layer-by-layer.

    Machine learning network model compression

    公开(公告)号:US12271819B2

    公开(公告)日:2025-04-08

    申请号:US17371590

    申请日:2021-07-09

    Abstract: A first aspect relates to a computer-implemented method for performing model compression. The method includes compressing a machine learning (ML) network model comprising a multiple layer structure to produce a compressed ML network model. The compressed ML network model maintains the multiple layer structure of the ML network model. The method generates a model file for the compressed ML network model. The model file includes the compressed ML network model and decoding information for enabling the ML network model to be decompressed and executed layer-by-layer.

Patent Agency Ranking