Main Article Content
This paper first briefly introduces the Python language and TensorFlow architecture, normalizes, calibrates, and divides the collected images, and then analyzes the processing process of the AlexNet model, adopts the VGG model and causes the data of the transfer learning method to be identified, to get 90% accuracy, using cross-entropy training loss function, the loss value is 0.3.
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