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. 2022 Feb 4;195:116554. doi: 10.1016/j.eswa.2022.116554

Table 1.

Features extraction model summary.

Layer name Output shape
Input Layer (224, 224, 3)
Conv2D (222, 222, 8)
Batch_Normalization, Activation(ReLU) (222, 222, 8)
MaxPooling2D (111, 111, 8)
Conv2D_1 (109, 109, 16)
Batch_Normalization_1, Activation_1(ReLU) (109, 109, 16)
MaxPooling2D_1 (54, 54, 16)
Conv2D_2 (52, 52, 32)
Batch_Normalization_2, Activation_2(ReLU) (52, 52, 32)
MaxPooling2D_2 (26, 26, 16)
Conv2D_3 (26, 26, 64)
Batch_Normalization_3, Activation_3(ReLU) (26, 26, 64)
MaxPooling2D_3 (13, 13, 64)
Flatten (10816)
Dense1 (128)
Batch_Normalization_4, Activation_4(ReLU) (128)
Dropout (128)
Dense2 (100)