发明申请
- 专利标题: BATCH NORMALIZATION LAYERS
- 专利标题(中): 批量标准化层
-
申请号: US15009647申请日: 2016-01-28
-
公开(公告)号: US20160217368A1公开(公告)日: 2016-07-28
- 发明人: Sergey Ioffe , Corinna Cortes
- 申请人: Google Inc.
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06N3/04
摘要:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing inputs using a neural network system that includes a batch normalization layer. One of the methods includes receiving a respective first layer output for each training example in the batch; computing a plurality of normalization statistics for the batch from the first layer outputs; normalizing each component of each first layer output using the normalization statistics to generate a respective normalized layer output for each training example in the batch; generating a respective batch normalization layer output for each of the training examples from the normalized layer outputs; and providing the batch normalization layer output as an input to the second neural network layer.
公开/授权文献
- US10417562B2 Batch normalization layers 公开/授权日:2019-09-17
信息查询