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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Váldodahkkit: Simonyan, K, Zisserman, A
Materiálatiipa: Conference item
Almmustuhtton: Computational and Biological Learning Society 2015