Table 1.

GoogleNet architecture modified with Batch Normalization

Type	Patch size / Stride	Output size	Depth	Params	Ops
Convolution	7 ×7/2	112 ×112×64	1	2.7K	34M
Max pool	3 ×3/2	56 ×56×64	0
Batch norm		56 ×56×64	0
LRN		56 ×56×64	0
Convolution	3 ×3/1	56 ×56×192	2	112K	360M
Max pool	3 ×3/2	28 ×28×192	0
Batch norm		28 ×28×192	0
LRN		28 ×28×192	0
Inception (3a)		28 ×28×256	2	159K	128M
Inception (3b)		28 ×28×480	2	380K	304M
Max pool	3 ×3/2	14 ×14×480	0
Batch norm		14 ×14×480	0
Inception (4a)		14 ×14×512	2	364K	73M
Inception (4b)		14 ×14×512	2	437K	88M
inception (4c)		14 ×14×512	2	463K	100M
Inception (4d)		14 ×14×528	2	580K	119M
Inception (4e)		14 ×14×832	2	840K	170M
Max pool	3 ×3/2	7 ×7×832	0
Batch norm		7 ×7×832	0
Inception (5a)		7 ×7×832	2	1072K	54M
Inception (5b)		7 ×7×1024	2	1388K	71M
Avg pool	7 ×7/1	1 ×1×1024	0
Batch norm		1 ×1×1024	0
Linear		1 ×1×10000	1	1000K	1M
Softmax		1 ×1×10000	0