Remote Diagnosis and Triaging Model for Skin Cancer Using EfficientNet and Extreme Gradient Boosting

Table 3

Summary of the proposed model.

Layer (type)	Output shape	Parameters
Input layer	300, 300, 3	0
EfficientNetB3 (model)	10, 10, 1,536	10,783,528
Global_average_pooling2D	1,536	0
Dropout_2	1,536	0
Dense_2	128	196,736
Dropout_3	128	0
Dense_3	64	8,256
Dense_4	6	390
Total parameters	—	10,988,910
Trainable parameters	—	10,901,614
Nontrainable parameters	—	87, 296