AlexNet网络结构图

Size / Operation	Filter	Depth	Stride	Padding	Number of Parameters	Forward Computation
3* 227 * 227
Conv1 + Relu	11 * 11	96	4		(11113 + 1) * 96=34944	(11113 + 1) * 96 * 55 * 55=105705600
96 * 55 * 55
Max Pooling	3 * 3		2
96 * 27 * 27
Norm
Conv2 + Relu	5 * 5	256	1	2	(5 * 5 * 96 + 1) * 256=614656	(5 * 5 * 96 + 1) * 256 * 27 * 27=448084224
256 * 27 * 27
Max Pooling	3 * 3		2
256 * 13 * 13
Norm
Conv3 + Relu	3 * 3	384	1	1	(3 * 3 * 256 + 1) * 384=885120	(3 * 3 * 256 + 1) * 384 * 13 * 13=149585280
384 * 13 * 13
Conv4 + Relu	3 * 3	384	1	1	(3 * 3 * 384 + 1) * 384=1327488	(3 * 3 * 384 + 1) * 384 * 13 * 13=224345472
384 * 13 * 13
Conv5 + Relu	3 * 3	256	1	1	(3 * 3 * 384 + 1) * 256=884992	(3 * 3 * 384 + 1) * 256 * 13 * 13=149563648
256 * 13 * 13
Max Pooling	3 * 3		2
256 * 6 * 6
Dropout (rate 0.5)
FC6 + Relu					256 * 6 * 6 * 4096=37748736	256 * 6 * 6 * 4096=37748736
4096
Dropout (rate 0.5)
FC7 + Relu					4096 * 4096=16777216	4096 * 4096=16777216
4096
FC8 + Relu					4096 * 1000=4096000	4096 * 1000=4096000
1000 classes
Overall					62369152=62.3 million	1135906176=1.1 billion
Conv VS FC					"Conv:3.7million (6%)	FC: 58.6 million (94% )"

https://www.cnblogs.com/wangguchangqing/p/10333370.html