Table 2 CNN architecture Layer Type... | Emerald Publishing

Table 2

CNN architecture

Layer	Type	Dimension	Filter Number	Stride (h,w)	Padding (t,b,l,r)
1	Input	4097x25x1	-	-	-
2	Conv	11x11	80	[1,1]	[5,5,5,5]
3	ReLU	-	-	-	-
4	Conv	7x7	50	[1,1]	[3,3,3,3]
5	ReLU	-	-	-	-
6	Conv	5x5	50	[2,2]	[1,1,1,1]
7	ReLU	-	-	-	-
8	Conv	3x3	100	[1,1]	[0,0,0,0]
9	ReLU	_-	_-	_-	_-
10	Fully connected	-		-	-
11	Softmax	-		-	-
12	Classification output	-		-	-
10	Fully connected	-		-	-
11	Softmax	-		-	-
12	Classification output	-		-	-

Layer	Type	Dimension	Filter Number	Stride (h,w)	Padding (t,b,l,r)
1	Input	4097x25x1	-	-	-
2	Conv	11x11	80	[1,1]	[5,5,5,5]
3	ReLU	-	-	-	-
4	Conv	7x7	50	[1,1]	[3,3,3,3]
5	ReLU	-	-	-	-
6	Conv	5x5	50	[2,2]	[1,1,1,1]
7	ReLU	-	-	-	-
8	Conv	3x3	100	[1,1]	[0,0,0,0]
9	ReLU	_-	_-	_-	_-
10	Fully connected	-		-	-
11	Softmax	-		-	-
12	Classification output	-		-	-
10	Fully connected	-		-	-
11	Softmax	-		-	-
12	Classification output	-		-	-