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Deep double descent

OpenAI Newsen

6a

Antigüedad

Publicado
Recolectado

We show that the double descent phenomenon occurs in CNNs, ResNets, and transformers: performance first improves, then gets worse, and then improves again with increasing model size, data size, or training time. This effect is often avoided through careful regularization. While this behavior appears to be fairly universal, we don’t yet fully understand why it happens, and view further study…

Lee el artículo completo en openai.com

overfeed.news indexa y enlaza. Publicamos un extracto breve; el artículo completo sigue en OpenAI News.

Deep double descent — overfeed.news