1. Learning activation functions to improve deep neural networks;Agostinelli,2014
2. Large-scale machine learning with stochastic gradient descent;Bottou,2010
3. Fast and accurate deep network learning by exponential linear units (ELUs);Clevert,2015
4. Incorporating second-order functional knowledge for better option pricing;Dugas,2000
5. Understanding the difficulty of training deep feedforward neural networks;Glorot,2010