Table 3.

Mobile net model hyper parameters.

Input	Type	t	c	n	s
2,242 × 3	conv2d	-	32	1	2
1,122 × 32	Bottleneck	1	16	1	1
1,122 × 16	Bottleneck	6	24	2	2
562 × 24	Bottleneck	6	32	3	2
282 × 32	Bottleneck	6	64	4	2
142 × 64	Bottleneck	6	96	3	1
142 × 96	Bottleneck	6	160	3	2
72 × 160	Bottleneck	6	320	1	1
72 × 320	conv2d 1 × 1	–	1,280	1	1
72 × 1,280	avgpool 7 × 7	–	–	1	–
1 × 1 × 1,280	conv2d 1 × 1	–	k	–