1. Delving deep into rectifiers: surpassing human-level performance on imagenet classification;He,2015
2. Batch normalization: accelerating deep network training by reducing internal covariate shift;Ioffe,2015
3. Very Deep Convolutional Networks for Large-Scale Image Recognition;Simonyan,2014
4. Going deeper with convolutions;Szegedy,2015
5. Deep residual learning for image recognition;He,2016