Table 3 Structure of VGG19

From: A comprehensive analysis of deep learning and transfer learning techniques for skin cancer classification

Input

Parameters

Feature map

Output size

Kernel size

Stride

1

2× Conv1_x

64

224 × 224 × 64

3 × 3

1

 

Maxpooling

64

112 × 112 × 64

3 × 3

2

3

2× Conv2_x

128

112 × 112 × 128

3 × 3

1

 

Maxpooling

128

56 × 56 × 128

3 × 3

2

5

4× Conv3_x

256

56 × 56 × 256

3 × 3

1

 

Maxpooling

256

28 × 28 × 256

3 × 3

2

9

4× Conv4_x

512

28 × 28 × 512

3 × 3

1

 

Maxpooling

512

14 × 14 × 512

3 × 3

2

13

4× Conv5_x

512

14 × 14 × 512

3 × 3

1

 

Maxpooling

512

7 × 7 × 512

3 × 3

2

17

FC

--

25,088

--

--

18

FC

--

4096

--

--

19

Output

--

1000

--

--