Table 2. The layers and layer parameters of the VGG16 model.

Layers	layer Type	Output Shape	Trainable parameters
1	Cov2d	[224, 224, 64]	1792
2	Cov2d	[224, 224, 64]	36928
4	Cov2d	[112, 112, 128]	73856
5	Cov2d	[112, 112, 128]	147585
6	Cov2d	[56, 56, 256]	295168
7	Cov2d	[56, 56, 256]	590080
8	Cov2d	[56, 56, 256]	590080
9	Cov2d	[56, 56, 256]	590080
10	Cov2d	[28, 28, 512]	1180160
11	Cov2d	[28, 28, 512]	2359808
12	Cov2d	[28, 28, 512]	2359808
13	Cov2d	[14, 14, 512]	2359808
14	Cov2d	[14, 14, 512]	2359808
15	Cov2d	[14, 14, 512]	2359808
16	Cov2d	[14, 14, 512]	2359808