Table 2.

ResNet 18 network structure.

Layer name	Output size	18-layer
Conv1	74 × 74	3 × 3,16
Conv2_x	25 × 25	$\left[\begin{array}{c}3\times 3,32\\ 3\times 3,32\end{array}\right]$ ×2
Conv3_x	9 × 9	$\left[\begin{array}{c}3\times 3,64\\ 3\times 3,64\end{array}\right]$ ×2
Conv4_x	5 × 5	$\left[\begin{array}{c}3\times 3,128\\ 3\times 3,128\end{array}\right]$ ×2
Conv5_x	3 × 3	$\left[\begin{array}{c}3\times 3,256\\ 3\times 3,256\end{array}\right]$ ×2
Classification	3