Table 17.

Network topologies for AGD training methodology with hybrid layers and softmax classifier at the end for imagenet dataset.

Model	Configuration	BackRes
VGG13	Input–Conv1(3,64,3x3/1)-ReLU–	Not applicable
	–Conv2(64,64,3x3/1)-ReLU–Pool(2x2/2)–
	–Conv3(64,128,3x3/1)-ReLU–
	–Conv4(128,128,3x3/1)-ReLU–Pool(2x2/2)–
	–Conv5(128,256,3x3/1)-ReLU–
	–Conv6(256,256,3x3/1)-ReLU–Pool(2x2/2)–
	–Conv7(256, 512,3x3/1)-LIF–
	–Conv8(512,512,3x3/1)-LIF–Pool(2x2/2)–
	–Conv9(512,512,3x3/1)-ReLU–
	–Conv10(512,512,3x3/1)-ReLU–Pool(2x2/2)–
	–FC1(25088,4096)-ReLU–FC2(4096,4096)
	–FC3(4096,1000)

Notations are same as that of Table 3.