pytorch_resnet
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A PyTorch implementation of ResNet
PyTorch Implementation of ResNet
Usage
$ python main.py --block_type basic --depth 110 --outdir results
Results on CIFAR-10
| Model | Test Error (median of 3 runs) | Test Error (in paper) | Training Time |
|---|---|---|---|
| ResNet-110 | 6.52 | 6.43 (best), 6.61 ± 0.16 | 3h06m |
References
- He, Kaiming, et al. "Deep residual learning for image recognition." Proceedings of the IEEE conference on computer vision and pattern recognition. 2016. arXiv:1512.03385
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