Table 2.

The dimensions of the various layers of ResNet 50 CNN.

Layer Label	Input Layer Dimension	Output Dimension
Input Layer		224 × 224 × 3
Conv1	112 × 112 × 64	Filter size = 7 × 7 Number of filters = 64 Stride = 2 Padding = 3
pool1	56 × 56 × 64	Pooling size = 3 × 3 Stride = 2
conv2_x	56 × 56 × 64	$\left[\begin{array}{cc}1\times 1& 64\\ 3\times 3& 64\\ 1\times 1& 256\end{array}\right]$ $\times 3$
conv3_x	28 × 28 × 128	$\left[\begin{array}{cc}1\times 1& 128\\ 3\times 3& 128\\ 1\times 1& 512\end{array}\right]$ $\times 4$
conv4_x	14 × 14 × 256	$\left[\begin{array}{cc}1\times 1& 256\\ 3\times 3& 256\\ 1\times 1& 1024\end{array}\right]$ $\times 6$
conv5_x	7 × 7 × 512	$\left[\begin{array}{cc}1\times 1& 512\\ 3\times 3& 512\\ 1\times 1& 2048\end{array}\right]$ $\times 3$
Average pooling		Pool size = 7 × 7 Stride = 7
		1 × 1
Fully connected (FC) Layer		1000