SqueezeNet 1.2
SqueezeNet is a light-weight convolutional network used for classification.
**Paper**
[SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size][1]
**Dataset**
[ILSVRC2012][2]
**Source**
Caffe2 SqueezeNet ==> ONNX SqueezeNet
**Model input and output**
**Input**
* data_0: float[1, 3, 224, 224]
**Output**
* softmaxout_1: float[1, 1000, 1, 1]
**Pre-processing steps**
**Post-processing steps**
**Sample test data**
random generated sample test data:
* 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/1602.07360
[2]: http://www.image-net.org/challenges/LSVRC/2012/
[3]:https://github.com/onnx/models/blob/master/LICENSE
