Construct · 1 fields · 1 citations

flat minima: a standalone construct

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

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Machine learning

large connected regions of weight space where training error stays roughly constant; networks found there are argued to need less description length and to generalize better.

In machine learning, flat minima refers to large connected regions of weight space where training error stays roughly constant; networks found there are argued to need less description length and to generalize better. This meaning comes from Hochreiter (1997) in Neural Computation.[1]

Unit
Recovery means
Measured by

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Nearby constructs

constant2 fields · 2 citationsjingle · one word, two constructs error4 fields · 8 citationsjingle · one word, four constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Hochreiter, S., & Schmidhuber, J. (1997). Flat Minima. Neural Computation, 9(1), 1-42. https://doi.org/10.1162/neco.1997.9.1.1

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