Skip to main content
. 2021 Jul 27;2021(1):50. doi: 10.1186/s13634-021-00755-1

Table 3.

Accuracy and loss during training and validation

Best epoch Training loss Training accuracy Validation loss Validation accuracy
VGG16 21 0.0100 0.9990 0.0000e+00 1.0000
VGG19 22 0.0122 0.9994 0.0000e+00 1.0000
DenseNet121 20 6.1363e−09 1.0000 7.2103e−07 1.0000
Inception-ResNet-V2 9 0.0022 0.9993 0.0011 1.0000
InceptionV3 3 0.0472 0.9943 0.0554 0.9963
ResNet50 4 1.1188e−04 1.0000 0.0633 0.9982
Xception 4 0.0430 0.9951 0.0325 0.9926