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. 2021 Jan 7;80(8):11765–11788. doi: 10.1007/s11042-020-10183-2

Table 6.

Optimal hyperparameters with CNN

Hyperparameter Value
Number of convolution layers 3
Number of max pooling layers 3
Number of dense layers 2
Number of Flatten layers 1
Loss function Categorical-crossentropy
Activation function Relu
Learning rate 0.001
Optimizer Ada-delta
Number of epochs 10
Batch size 128