Construct · 1 fields · 1 citations

backpropagation through time: a standalone construct

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

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Deep learning

training a recurrent network by unrolling it over time steps into a feedforward network and applying backpropagation across the unrolled copies.

In deep learning, backpropagation through time refers to training a recurrent network by unrolling it over time steps into a feedforward network and applying backpropagation across the unrolled copies. This meaning comes from Werbos (1990) in Proceedings of the IEEE.[1]

Unit
Recovery means
Measured by

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Nearby constructs

backpropagation1 fields · 3 citationsanchor · a standalone construct deep learning1 fields · 1 citationsanchor · a standalone construct feedforward3 fields · 5 citationsjingle · one word, three constructs

References

Werbos, P. J. (1990). Backpropagation through time: what it does and how to do it. Proceedings of the IEEE, 78(10), 1550-1560. https://doi.org/10.1109/5.58337

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