Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks

Table 3

Sizes of outputs and convolutional kernels for ResNet versions.

Layer name	Output size	34 layers	50 layers	101 layers
conv 1	112 × 112	7 × 7, 64, stride 2
conv 2.x	56 × 56	3 × 3 max pool, stride 2
		conv 3.x	28 × 28
conv 4.x	14 × 14
conv 4.x	7 × 7
	1 × 1	Average pool, 1000-d fc, softmax
FLOPs		3.6 × 10^9	3.8 × 10^9	7.6 × 10^9