Chapter 7 Neural Network Interpretation

• Feature Visualization: What features has the neural network learned? from the Example-Based Explanations chapter are closely related to feature visualization : How can we manipulate the inputs to get a wrong classification?
• (IN PROGRESS): How did each input contribute to a particular prediction?

• Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg and Li Fei-Fei. (* = equal contribution) ImageNet Large Scale Visual Recognition Challenge. IJCV, 2015↩