1. Tensorflow: Large-scale machine learning on heterogeneous distributed systems;Abadi,2016
2. Scalable methods for 8-bit training of neural networks;Banner,2018
3. Estimating or propagating gradients through stochastic neurons for conditional computation;Bengio,2013
4. Using learning rate schedules for deep learning models in python with keras;Brownlee,2016
5. Learning low precision deep neural networks through regularization;Choi,2018