Concepedia

Interpretable convolutional neural networks via feedforward design

C.‐C. Jay Kuo, Min Zhang, Siyang Li, Jiali Duan, Yueru Chen

Journal of Visual Communication and Image Representation · 2019 · 165 citations · 22 references

Concepts

ComputingComputer ScienceMachine LearningDeep LearningExplainable Machine LearningFeedforward CircuitsNeural NetworksPattern RecognitionRepresentation LearningConvolutional Neural NetworksFeedforward Neural NetworksInterpretabilityInterpretable Neural NetworksNeural Network Interpretability

References

22

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 222.1K citations · Full text

Computing, Computer Science, Computer Vision +11

ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · Communications of the ACM · 2017 · 75.7K citations · Full text

Computing, Computer Science, Computer Vision +12

Gradient-based learning applied to document recognition

Yann LeCun, Léon Bottou, Yoshua Bengio et al. · Proceedings of the IEEE · 1998 · 58.2K citations · Full text

Computing, Computer Science, Computer Vision +14

Densely Connected Convolutional Networks

Gao Huang, Zhuang Liu, Laurens van der Maaten et al. · 2017 · 44.7K citations

Computing, Computer Science, Computer Vision +10

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.3K citations

Computing, Computer Science, Artificial Intelligence +12