Visualizing and Understanding Convolutional Networks

  title={Visualizing and Understanding Convolutional Networks},
  author={Matthew D. Zeiler and Rob Fergus},
Large Convolutional Network models have recently demonstrated impressive classification performance on the ImageNet benchmark (Krizhevsky et al., 2012). However there is no clear understanding of why they perform so well, or how they might be improved. In this paper we address both issues. We introduce a novel visualization technique that gives insight into the function of intermediate feature layers and the operation of the classifier. Used in a diagnostic role, these visualizations allow us… CONTINUE READING
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