Table 7.
CNN comparison model features.
CNN Algorithm | Algorithm Details |
---|---|
LM-CNN | CONV2D–2 layers (Tanh) MaxPool2d–2 layers Dense fully connected layer–100 neurons (selu) Dense fully connected layer–3 neurons (softmax) |
CNN2 | CONV2D–2 layers (relu) MaxPool2d–2 layers Dense fully connected layer–100 neurons (selu) Dense fully connected layer–3 neurons (softmax) |
CNN3 | CONV2D–1 layer (relu) MaxPool2d–1 layer Dense fully connected layer–256 neurons (selu) Dense fully connected layer–3 neurons (softmax) |
CNN4 | CONV2D–2 layers (relu) MaxPool2d–1 layer Dense fully connected layer–256 neurons (selu) Dense fully connected layer–3 neurons (softmax) |