PyTorch-SE-ResNet:SE-ResNet PyTorch版本

# PyTorch-SE-ResNet SE-ResNet PyTorch Version I implement it for Place365 & Challenge AI Scene Classification. # Implemented Net - SE-ResNet (50, 101, 152) - SE-ResNeXt (50, 101, 152) other framework cound be easily implement to modify `model/model.py`. Source Caffe codes are at [here](https://github.com/hujie-frank/SENet) # Citation If you use Squeeze-and-Excitation Networks in your research, please cite the paper: @article{hu2017, title={Squeeze-and-Excitation Networks}, author={Jie Hu and Li Shen and Gang Sun}, journal={arXiv preprint arXiv:1709.01507}, year={2017} }