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 |