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Fig. 3
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Structure of the CNN model. The model contains 2 043 975 trainable parameters. The kernel size of all filters is 3 × 3, and the pooling layers have a 2 × 2 pool size. The dropout probability for the max-pooling and convolutional layers during training is 0.25, and 0.5 for the dense layer.
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