Inception_v1, the winner of the ILSVRC 2014 with an error rate of 6.7% (Top-5), is a deep convolutional neural network proposed by Google in 2014.
| Model | Download | Top-1 accuracy (%) | Top-5 accuracy (%) |
|---|---|---|---|
| Inception_v1 | model weight | 68.7 | 88.9 |
- Inception_v1 Model was described in the paper titled Going Deeper with Convolutions
- This model was trained by Sergio Guadarrama
- BVLC/caffe
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