Table 13.

ConvNN classifier network topologies for STDP training methodology.

Model	Configuration
ConvNN ResNet2, ResNet2x2	Input–Conv1(72,72,3x3/1)–Conv2(72,72,3x3/1)–
	–Pool(2x2/2)–Conv3(72,144,3x3/1)–
	–Conv4(144,144,3x3/1)–Pool(2x2/2)–
	–FC1(2304,1024)–FC2(1024,10)
ConvNN ResNet3	Input–Conv1(108,108,3x3/1)–Conv2(108,108,3x3/1)–
	–Pool(2x2/2)–Conv3(108,216,3x3/1)–
	–Conv4(216,216,3x3/1)–Pool(2x2/2)–
	–FC1(3456,1024)–FC2(1024,10)

Notations are same as that of Table 3.