Inception v2
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
