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Keyword: network visualization ×Clear all

1 claim from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Visualizing and Understanding Convolutional Networks

   Zeiler and Fergus · arXiv (Cornell University) · 2013

   The paper introduces a way to visualise what layers of convolutional networks learn, uses an ablation study to improve the architecture on ImageNet, and tests how well the model transfers to other datasets.

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   1. UncheckedA convolutional network trained on ImageNet, with only its final classifier retrained, is reported to beat prior best results on Caltech-101 and Caltech-256.“We show our ImageNet model generalizes well to other datasets: when the softmax classifier is retrained, it convincingly beats the current state-of-the-art results on Caltech-101 and Caltech-256 datasets.”