Research Article

Development of Pneumonia Disease Detection Model Based on Deep Learning Algorithm

Table 1

The parameters of the CNN model layers.

Layers (types)Shape_outputParameters

layer1 (convolutional 2D)None, “224, 224, 64”1792
layer2 (convolutional 2D)None, “224, 224, 64”36928
layer3 (max pooling 2D)None, “112, 112, 64”0
(Dropout)None, “112, 112, 64”0
layer4 (convolutional 2D)None, “112, 112, 128”73856
layer5 (convolutional 2D)None, “112, 112, 128”147584
layer6 (max pooling 2D)None, “56, 56, 128”0
(Dropout)None, “56, 56, 128”0
layer7 (convolutional 2D)None, “56, 56, 256”295168
layer8 (convolutional 2D)None, “56, 56, 256”590080
layer9 (max pooling 2D)None, “28, 28, 256”0
(Dropout)None, “28, 28, 256”0
(Flatten)None, “200704”0
layer10 (dense)None, “512”102760960
(Dropout)None, “512”0
layer11 (dense)None, “128”65664
(Dropout)None, “128”0
layer12 (dense)None, “64”8256
(Dropout)None, “64”0
(Dense)None, “2”130
Total of parameters: 103,980,418
Trainable parameters: 103,980,418
Nontrainable parameters: 0