ShuffleNet 1.2

By for July 3, 2018

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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