1. Deep inside convolutional networks: Visualising image classification models and saliency maps;simonyan,2013
2. Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude;tieleman;COURSERA Neural Networks for Machine Learning,2012
3. Image method for efficiently simulating small‐room acoustics
4. Echothief impulse response library,0
5. Axiomatic attribution for deep networks;sundararajan;Proc Int'l Conf Machine Learning (ICML '05),2017