Model | Download | Download (with sample test data) | ONNX version | Opset version |
---|---|---|---|---|
ZFNet-512 | 341 MB | 320 MB | 1.1 | 3 |
ZFNet-512 | 341 MB | 320 MB | 1.1.2 | 6 |
ZFNet-512 | 341 MB | 320 MB | 1.2 | 7 |
ZFNet-512 | 341 MB | 318 MB | 1.3 | 8 |
ZFNet-512 | 341 MB | 318 MB | 1.4 | 9 |
ZFNet-512 is a deep convolutional networks for classification. This model's 4th layer has 512 maps instead of 1024 maps mentioned in the paper.
Visualizing and Understanding Convolutional Networks
Caffe2 ZFNet-512 ==> ONNX ZFNet-512
gpu_0/data_0: float[1, 3, 224, 224]
gpu_0/softmax_1: float[1, 1000]
random generated sampe test data:
- test_data_set_0
- test_data_set_1
- test_data_set_2
- test_data_set_3
- test_data_set_4
- test_data_set_5
MIT