Invention Grant
- Patent Title: Image classification using batch normalization layers
-
Application No.: US16837959Application Date: 2020-04-01
-
Publication No.: US11308394B2Publication Date: 2022-04-19
- Inventor: Sergey Ioffe , Corinna Cortes
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04 ; G06K9/62

Abstract:
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.
Public/Granted literature
- US20200234127A1 IMAGE CLASSIFICATION USING BATCH NORMALIZATION LAYERS Public/Granted day:2020-07-23
Information query