Table 3.
Structure | Feature Extraction Layers | Fully Connected | Accuracy |
---|---|---|---|
1 | Convolution Layer (fi (2,16), Padding (3,3)) | F (O(22)) | 65.46% |
Max-Pooling (Pol (2,2), Stir(2,2)) | |||
Convolution Layer (fi (2,32), Padding (3,3)) | |||
Max-Pooling (Pol (2,2), Stir(2,2)) | |||
Convolution Layer (fi (2,64), Padding (3,3)) | |||
Max-Pooling (Pol (2,2), Stir(2,2)) | |||
Convolution Layer (fi (2,128), Padding (3,3)) | |||
2 | Convolution Layer (fi (3,16), Padding (1,1)) | F (O(22)) | 74.246% |
Max-Pooling (Pol (2,2)), Stir(2,2)) | |||
Convolution Layer (fi (3,32), Padding (1,1)) | |||
Max-Pooling (Pol (2,2), Stir(2,2)) | |||
Convolution Layer (fi (3,64), Padding (1,1)) | |||
3 | Convolution Layer (fi (3,16), Padding (1,1)) | F (O(22)) | 77.24% |
Max-Pooling (Pol (2,2)), Stir(2,2)) | |||
Convolution Layer (fi (3,32), Padding (1,1)) | |||
Max-Pooling (Pol (2,2), Stir(2,2)) | |||
Convolution Layer (fi (3,64), Padding (1,1)) | |||
Max-Pooling (Pol (2,2), Stir(2,2)) | |||
Convolution Layer (fi (3,128), Padding (1,1)) |
fi: Filter.
M: Max-Pooling Layer.
Pol: Poll-size.
Stir: Stride.
O: Output.