Construct · 1 fields · 1 citations

Bayesian neural network: a standalone construct

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

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Machine learning

a neural network whose weights are treated as random variables with a prior, so predictions average over the posterior and carry uncertainty.

In machine learning, Bayesian neural network refers to a neural network whose weights are treated as random variables with a prior, so predictions average over the posterior and carry uncertainty. This meaning comes from MacKay (1992) in Neural Computation.[1]

Unit
Recovery means
Measured by

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Nearby constructs

carry1 fields · 1 citationsanchor · a standalone construct learning6 fields · 14 citationsjingle · one name, six constructs network4 fields · 6 citationsjingle · one word, four constructs

References

MacKay, D. J. C. (1992). A Practical Bayesian Framework for Backpropagation Networks. Neural Computation, 4(3), 448-472. https://doi.org/10.1162/neco.1992.4.3.448

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