Table 1.

The summary of the level one CNN model.

Model.Summary()
Model: “Sequential_3”
Layer (type)	Output Shape	Param #
conv2d (Conv2D)	(None, 100, 100, 16)	160
max_pooling2d (MaxPooling2D)	(None, 50, 50, 16)	0
conv2d_1 (Conv2D)	(None, 50, 50, 32)	4640
max_pooling2d_1 (MaxPooling2D)	(None, 25, 25, 32)	0
conv2d_2 (Conv2D)	(None, 25, 25, 64)	18,496
max_pooling2d_2 (MaxPooling2D)	(None, 12, 12, 64)	0
flatten (Flatten)	(None, 9216)	0
dense(Dense)	(None, 512)	4,719,104
dense_1 (Dense)	(None, 1)	513
Total params: 4,742,913
Trainable params: 4,742,913
Non-trainable params: 0