Patent ID: 11948081
Assignee: HON HAI PRECISION INDUSTRY CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. An image recognition method, the method comprising:
acquiring training data and using the training data to train parameters of fully connected layers of a neural network model, the trained neural network model being an image recognition model, wherein the training of the parameters of the fully connected layer of a neural network model comprises: searching for nodes of at least one connected layer of the fully connected layers; dividing the nodes in a same layer of the at least one connected layer into multiple groups according to a first preset rule; obtaining numerical value corresponding to each feature node in each of the multiple groups; sorting the numerical value; selecting a node corresponding to a largest value as a feature node in each of the multiple groups; and using the information of the feature node in each group as parameter information of the fully connected layer to complete the training of the parameters of the fully connected layer;
in response to receiving an image recognition command, acquiring an image to be recognized from the image recognition command;
inputting the image to be recognized in the image recognition model and outputting an image recognition result.