- 专利标题: Image classification using batch normalization layers
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申请号: US16837959申请日: 2020-04-01
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公开(公告)号: US11308394B2公开(公告)日: 2022-04-19
- 发明人: Sergey Ioffe , Corinna Cortes
- 申请人: Google LLC
- 申请人地址: US CA Mountain View
- 专利权人: Google LLC
- 当前专利权人: Google LLC
- 当前专利权人地址: US CA Mountain View
- 代理机构: Fish & Richardson P.C.
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06N3/04 ; G06K9/62
摘要:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing images or features of images using an image classification system that includes a batch normalization layer. One of the systems includes a convolutional neural network configured to receive an input comprising an image or image features of the image and to generate a network output that includes respective scores for each object category in a set of object categories, the score for each object category representing a likelihood that that the image contains an image of an object belonging to the category, and the convolutional neural network comprising: a plurality of neural network layers, the plurality of neural network layers comprising a first convolutional neural network layer and a second neural network layer; and a batch normalization layer between the first convolutional neural network layer and the second neural network layer.
公开/授权文献
- US20200234127A1 IMAGE CLASSIFICATION USING BATCH NORMALIZATION LAYERS 公开/授权日:2020-07-23
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