Table 3.

Configuration of the ResNet50 DL Architecture.

The convolutional layer parameters are denoted as “conv2-(number of filters),” where “conv2” denotes 2D convolution operation and the height and width of the 2D convolution window is 2 × 2. Each of the convolutional or identity blocks is followed by the number of filters n_i of its three 2D convolutional operations as in “convolutional block x (n₁, n₂, and n₃).” Two or more identity blocks stacked together are denoted as “[identity block x (n₁, n₂, and n₃)] × k,” where k denotes the number of blocks stacked together.