Construct · 1 fields · 1 citations

VGG network: a standalone construct

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Machine learning

a convolutional network design that gains accuracy from depth by stacking many small three-by-three convolution filters, studied at 16 to 19 weight layers.

In machine learning, VGG network refers to a convolutional network design that gains accuracy from depth by stacking many small three-by-three convolution filters, studied at 16 to 19 weight layers. This meaning comes from Simonyan (2014) in arXiv.[1]

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Nearby constructs

accuracy3 fields · 6 citationsjingle · one word, three constructs convolution3 fields · 3 citationsjingle · one word, three constructs depth3 fields · 6 citationsjingle · one word, three constructs

References

Simonyan, K., & Zisserman, A. (2014). Very Deep Convolutional Networks for Large-Scale Image Recognition. arXiv. https://doi.org/10.48550/arxiv.1409.1556

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