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semanticscholar.org
[PDF] Very Deep Convolutional Networks for Large-Scale Image Recognition | Semantic Scholar
This work investigates the effect of the convolutional network depth on its accuracy in the large-scale image recognition setting using an architecture with very small convolution filters, which shows that a significant improvement on the prior-art configurations can be achieved by pushing the depth to 16-19 weight layers. In this work we ...
Sep 4, 2014
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