Table 3 Accuracy and loss rates comparison of different DCNN models

From: Deep learning-assisted single-atom detection of copper ions by combining click chemistry and fast scan voltammetry

Model

Training set

Testing set

Accuracy (%)

Loss (%)

Accuracy (%)

Loss (%)

VGGNet

93.52

2.93

78.57

4.28

InceptionNet

82.41

5.45

96.43

6.33

ResNet

75.30

6.08

89.29

6.46

DenseNet

79.63

5.75

99.27

5.63

FSVNet

99.07

0.91

99.96

1.69

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