Table 2. ResNet-18 architecture.

Layer	Output Size	Kernel Size	Stride
conv1	112×112×64	7x7, 64	2
conv2_x	56×56×64	3×3 maxPool	2
		$\left[\begin{array}{c}3\times 3,64\\ 3\times 3,64\end{array}\right]\times 2$
conv3_x	28×28×128	$\left[\begin{array}{c}3\times 3,128\\ 3\times 3,128\end{array}\right]\times 2$
conv4_x	14×14×256	$\left[\begin{array}{c}3\times 3,256\\ 3\times 3,256\end{array}\right]\times 2$
conv5_x	7×7×512	$\left[\begin{array}{c}3\times 3,512\\ 3\times 3,512\end{array}\right]\times 2$
avgpool	1×1×512	7×7
fullyConnected	2	512×2
softmax	2
classification	2