Construct · 1 fields · 1 citations

stochastic depth: a standalone construct

One name. One construct. A landmark on the map.

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Machine learning

randomly skipping whole residual blocks during training while using the full network at test time, which shortens training and acts as regularization.

In machine learning, stochastic depth refers to randomly skipping whole residual blocks during training while using the full network at test time, which shortens training and acts as regularization. This meaning comes from Huang (2016) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

depth3 fields · 6 citationsjingle · one word, three constructs learning6 fields · 14 citationsjingle · one name, six constructs network4 fields · 6 citationsjingle · one word, four constructs

References

Huang, G., Sun, Y., Liu, Z., Sedra, D., & Weinberger, K. (2016). Deep Networks with Stochastic Depth. arXiv. https://doi.org/10.48550/arxiv.1603.09382

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