Inception v2 1.2

By for July 3, 2018

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Inception v2 is a deep convolutional network for classification.
Inception v2 is a deep convolutional network for classification. ![enter image description here][3] **Paper** [Rethinking the Inception Architecture for Computer Vision][1] **Dataset** [ILSVRC2012][2] **Source** Caffe2 Inception v2 ==> ONNX Inception v2 **Model input and output** **Input** * data_0: float[1, 3, 224, 224] **Output** * prob_1: float[1, 1000] **Pre-processing steps** **Post-processing steps** **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: 45 MB** **License** [MIT][4] [1]: https://arxiv.org/abs/1512.00567 [2]: http://www.image-net.org/challenges/LSVRC/2012/ [3]: https://i.stack.imgur.com/eindA.png [4]: https://github.com/onnx/models/blob/master/LICENSE