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Table 1 VGG16 parameters

From: Application of deep learning and feature selection technique on external root resorption identification on CBCT images

Layer (Type)

Output shape

Parameter

Block1_conv1(Conv2D)

(None, 320, 160, 64)

1792

Block1_conv2(Conv2D)

(None, 320, 160, 64)

36,928

Block1_pool (MaxPooling2D)

(None, 160, 80, 64)

0

Block1_conv1(Conv2D)

(None, 160, 80, 128)

73,856

Block1_conv2(Conv2D)

(None, 160, 80, 128)

147,584

Block2_pool (MaxPooling2D)

(None, 80, 40, 128)

0

Block3_conv1 (Conv2D)

(None, 80, 40, 256)

295,168

  1. Total parameters: 555,328
  2. Trainable parameters: 555,328
  3. Non-trainable parameters: 0