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. 2019 Dec 3;9:18238. doi: 10.1038/s41598-019-54341-5

Table 3.

Configuration of CNN on Myxobacterial pictures in MY22.

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.