Construct · 1 fields · 1 citations

exploding gradient problem: a standalone construct

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Machine learning

gradients in recurrent networks can grow exponentially over long sequences, destabilizing training; norm clipping of gradients was proposed as the remedy.

In machine learning, exploding gradient problem refers to gradients in recurrent networks can grow exponentially over long sequences, destabilizing training; norm clipping of gradients was proposed as the remedy. This meaning comes from Pascanu (2012) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

clipping2 fields · 2 citationsjingle · one word, two constructs gradient4 fields · 4 citationsjingle · one word, four constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Pascanu, R., Mikolov, T., & Bengio, Y. (2012). On the difficulty of training Recurrent Neural Networks. arXiv. https://doi.org/10.48550/arxiv.1211.5063

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