Very deep convolutional networks for large-scale image recognition
In this work we investigate the effect of the convolutional network depth on its accuracy in the large-scale image recognition setting. Our main contribution is a thorough evaluation of networks of increasing depth using an architecture with very small (3x3) convolution filters, which shows that a s...
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| フォーマット: | Conference item |
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Computational and Biological Learning Society
2015
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