ShuffleNet
ShuffleNet is a deep convolutional network for classification
**Paper**
[ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices][1]
**Dataset**
[ILSVRC2012][2]
**Source**
Caffe2 ShuffleNet ==> ONNX ShuffleNet
**Model input and output**
**Input**
* gpu_0/data_0: float[1, 3, 224, 224]
**Output**
* gpu_0/softmax_1: float[1, 1000]
**Pre-processing steps**
**Post-processing steps**
**Sample test data**
random generated sample test data:
* test_data_0.npz
* test_data_1.npz
* test_data_2.npz
* test_data_set_0
* test_data_set_1
* test_data_set_2
**Model size: 5.3 MB**
**License**
[MIT][3]
[1]: https://arxiv.org/abs/1707.01083
[2]: http://www.image-net.org/challenges/LSVRC/2012/
[3]:https://github.com/onnx/models/blob/master/LICENSE
