Construct · 1 fields · 1 citations

DenseNet: a standalone construct

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Machine learning

a convolutional network in which each layer receives the feature maps of all preceding layers as input, encouraging feature reuse and easing gradient flow.

In machine learning, DenseNet refers to a convolutional network in which each layer receives the feature maps of all preceding layers as input, encouraging feature reuse and easing gradient flow. This meaning comes from Huang (2016) in arXiv.[1]

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Nearby constructs

feature2 fields · 4 citationsjingle · one word, two constructs flow6 names · 12 citationsjangle · five names, one experience, partly gradient4 fields · 4 citationsjingle · one word, four constructs

References

Huang, G., Liu, Z., van der Maaten, L., & Weinberger, K. Q. (2016). Densely Connected Convolutional Networks. arXiv. https://doi.org/10.48550/arxiv.1608.06993

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