Article | 30-November-2020
recognition based on lightweight convolutional neural network model is feasible.
The same method is used to test the test set. The test set samples are rotated from multiple angles to test the robustness of the model. After the rotation of the test set, the model is still able to be recognized normally. The accuracy of the IncpetionV3 network model test is 98. 5%, and the MobileNetV2 lightweight model test is 98. 4%.
COMPARISON OF INCPETION V3 AND MOBILENET V2 METHODS
International Journal of Advanced Network, Monitoring and Controls, Volume 6 , ISSUE 1, 11–17