1. Abadi, M., Agarwal, A., Barham, P., et al., 2016. Tensorflow:large-scale machine learning on heterogeneous distributed systems. arXiv:1603.04467v2[cs.DC].
2. Canziani, A., Paszke, A., Culurciello, E., 2016. An analysis of deep neural network models for practical applications. arXiv:1605.07678v4[cs.CV].
3. Carrasco-Davis, R., Cabrera-Vives, G., Frster, F., et al., 2018. Deep learning for image sequence classification of astronomical events. arXiv:1807.03869v3[astro-ph.IM].
4. Chetlur, S., Woolley, C., Vandermersch, P., et al., 2014. cuDNN: efficient primitives for deep learning. arXiv:1410.0759v3[cs.NE].
5. Applying deep learning to fast radio burst classification;Connor;Astron. J.,2018