Table 3 Performance Analysis of SRB-VGG19.

From: Restricted Boltzmann machine with Sobel filter dense adversarial noise secured layer framework for flower species recognition

CNN models

Accuracy

AlexNet45

74.23

LeNet46,47

67.52

ResNet48,49,50

71.65

Inception51,52,53

66.23

Xception54

70.12

DenseNet55,56

83.17

VGG1957,58,59,60,61

81.36

Proposed SRB-VGG19 FCL

95.53

Proposed SRB-VGG19 dense without ANL layer

98.65

SRB-VGG19 dense ANL model with ANL layer

98.45

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