Table 2.
DL model | Acronym | Variants | Acronym |
---|---|---|---|
Convolutional neural network [34] | CNN | Visual geometry group [35] | VGG (VGG‐16, VGG‐19) |
AlexNet [36] | N/A | ||
Xception [37] | N/A | ||
GoogLeNet [38] | N/A | ||
GoogLeNet inception V3 [39] | Inception V3 | ||
GoogLeNet inception V4 [40] | Inception V4 | ||
Residual networks [41] | ResNet | ||
ResNeXt [42] | N/A | ||
ResNet (Split attention networks) [43] | ResNeSt | ||
U‐Net [44] | N/A | ||
Graph convolutional network [45] | GCN | ||
Dense convolutional network [46] | DenseNet | ||
EfficientNet [47] | N/A | ||
MobileNet [48, 49, 50] | N/A | ||
ShufflieNet [51] | N/A | ||
SqueezeNet [52] | N/A | ||
Recurrent neural network | RNN | Long short‐term memory [53] | LSTM |
Bidirectional LSTM [54] | BiLSTM | ||
Gated recurrent unit [55] | GRU |