Methods for interpreting and understanding deep neural networks

References

Page 1

	Year	Citations
ImageNet classification with deep convolutional neural networks Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton Communications of the ACM Convolutional Neural NetworkEngineeringMachine LearningNeural NetworkImagenet Classification	2017	75.5K
Going deeper with convolutions Christian Szegedy, Wei Liu, Yangqing Jia, Image ClassificationDeep Neural NetworksImage AnalysisMachine LearningData Science	2015	46.2K
Dropout: a simple way to prevent neural networks from overfitting Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky,	2014	34.2K
Learning representations by back-propagating errors David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams Nature EngineeringMachine LearningFeature LearningPattern RecognitionKnowledge Discovery	1986	29.7K
GAN（Generative Adversarial Nets） Journal of Japan Society for Fuzzy Theory and Intelligent Informatics Artificial IntelligenceGenerative Artificial IntelligenceEngineeringMachine LearningData Science	2017	21.7K
Neural networks for pattern recognition Choice Reviews Online Recurrent Neural NetworkEngineeringMachine LearningData ScienceComputational Learning Theory	1994	18.7K
Advances in neural information processing systems 7 Computers & Mathematics with Applications Intelligent Information ProcessingEngineeringMachine LearningComputational NeuroscienceSystems 7	1996	14.4K
"Why Should I Trust You?" Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin Artificial IntelligenceEngineeringMachine LearningTrust Management ArchitectureVerification	2016	14K
Proceedings of the 24th international conference on Machine learning Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolAlgorithmic Learning	2007	11.7K
Caffe Yangqing Jia, Evan Shelhamer, Jeff Donahue, Convolutional Neural NetworkMachine VisionMachine LearningData ScienceImage Analysis	2014	11.1K

Page 1