APPARATUS AND METHOD USING NEURAL NETWORK
    21.
    发明申请

    公开(公告)号:US20190332356A1

    公开(公告)日:2019-10-31

    申请号:US16387262

    申请日:2019-04-17

    IPC分类号: G06F7/533 G06N3/08 G06F7/544

    摘要: An apparatus includes a first holding unit and a second holding unit configured to hold first-type data and second-type data, respectively, a first operation unit configured to execute a first product-sum operation based on the first-type data, a branch unit configured to output an operation result of the first product-sum operation in parallel, a sampling unit configured to sample the operation result and to output a sampling result, and a second operation unit configured to execute a second product-sum operation based on the second-type data and the sampling result.

    Discrimination calculation apparatus and method thereof

    公开(公告)号:US11755893B2

    公开(公告)日:2023-09-12

    申请号:US16784946

    申请日:2020-02-07

    摘要: In order to perform a discrimination calculation using a small-capacity storage unit, a discrimination calculation apparatus comprises a feature calculation unit configured to sequentially calculate a feature of discrimination target data for each hierarchical layer, a discrimination calculation unit configured to sequentially perform a partial discrimination calculation on the discrimination target data using the feature sequentially calculated by the feature calculation unit and store a result of the partial discrimination calculation in a discrimination result storage unit, and a control unit configured to control the discrimination calculation unit to perform a next partial discrimination calculation using the feature sequentially calculated by the feature calculation unit and the result of the partial discrimination calculation stored in the discrimination result storage unit and to store a result of the next partial discrimination calculation in the discrimination result storage unit.

    Arithmetic processing apparatus and control method therefor

    公开(公告)号:US11699067B2

    公开(公告)日:2023-07-11

    申请号:US15908945

    申请日:2018-03-01

    CPC分类号: G06N3/063 G06N3/04 G06N3/045

    摘要: To allow arithmetic processing using a plurality of processing nodes to be executed with a smaller memory size, an arithmetic processing apparatus for executing processing using a hierarchical type network formed by the plurality of processing nodes, comprises: a storage unit configured to store a parameter used by each of the plurality of processing nodes for arithmetic processing and a calculation result of the arithmetic processing in each of the plurality of processing nodes; and a buffer control unit configured to switch, based on a configuration of the hierarchical type network, a buffer system of the parameter and the calculation result in the storage unit in at least one layer of the hierarchical type network.

    Apparatus and method using neural network

    公开(公告)号:US11625224B2

    公开(公告)日:2023-04-11

    申请号:US16387262

    申请日:2019-04-17

    IPC分类号: G06F7/533 G06F7/544 G06N3/08

    摘要: An apparatus includes a first holding unit and a second holding unit configured to hold first-type data and second-type data, respectively, a first operation unit configured to execute a first product-sum operation based on the first-type data, a branch unit configured to output an operation result of the first product-sum operation in parallel, a sampling unit configured to sample the operation result and to output a sampling result, and a second operation unit configured to execute a second product-sum operation based on the second-type data and the sampling result.

    DATA PROCESSING APPARATUS, DATA PROCESSING METHOD, MEDIUM, AND TRAINED MODEL

    公开(公告)号:US20200293885A1

    公开(公告)日:2020-09-17

    申请号:US16810057

    申请日:2020-03-05

    IPC分类号: G06N3/08 H03M7/30

    摘要: There is provided with a data processing apparatus. An acquisition unit acquires feature plane data of a layer included in a neural network. A control unit outputs a first control signal corresponding to the layer for controlling first compression processing and a second control signal corresponding to the layer for controlling second compression processing. A first compression unit performs the first compression processing corresponding to the first control signal on the feature plane data. A second compression unit performs the second compression processing corresponding to the second control signal on the feature plane data after the first compression processing. A type of processing of the second compression processing is different from the first compression processing.

    CONVOLUTION OPERATION APPARATUS
    28.
    发明申请

    公开(公告)号:US20170116495A1

    公开(公告)日:2017-04-27

    申请号:US15331044

    申请日:2016-10-21

    IPC分类号: G06K9/46 G06N3/08

    摘要: There is provided with a convolution operation apparatus. A first product-sum calculator includes a plurality of first multipliers, a plurality of first accumulators, a first data supplier which supplies first data to the plurality of first multipliers, and a second data supplier which supplies a plurality of second data to the plurality of first multipliers. A second product-sum calculator includes a plurality of second multipliers, a plurality of second accumulators, a third data supplier which supplies third data to the plurality of second multipliers, and a fourth data supplier which receives and holds an output from each of the plurality of first accumulators and supply the outputs as fourth data to a corresponding one of the plurality of second multipliers.

    IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

    公开(公告)号:US20130156303A1

    公开(公告)日:2013-06-20

    申请号:US13759129

    申请日:2013-02-05

    IPC分类号: G06K9/00

    摘要: An image processing method is provided for an image processing apparatus which executes processing by allocating a plurality of weak discriminators to form a tree structure having branches corresponding to types of objects so as to detect objects included in image data. Each weak discriminator calculates a feature amount to be used in a calculation of an evaluation value of the image data, and discriminates whether or not the object is included in the image data by using the evaluation value. The weak discriminator allocated to a branch point in the tree structure further selects a branch destination using at least some of the feature amounts calculated by weak discriminators included in each branch destination.