Caffe-ShuffleNet

This is Re-implementation of ShuffleNet, For details, please read the original paper:
"ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices" by Xiangyu Zhang et. al. 2017. If you find any bug, please drop me an email. Thanks.

Notes

| group 1  | group 2  |  group 3  |
| 1     2  | 3     4  |  5     6  |  
Each nubmer represents a channel of the feature map

step 1: Reshape

1 2
3 4
5 6

step 2: transpose

1 3 5
2 4 6　　

step 3: flatten

| group 1  | group 2  |  group 3  |
| 1     3  | 5     2  |  4     6  |  

Acknowledgement  

HolmesShuan