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Microsoft Improves Transformer Stability to Successfully Scale Extremely Deep Models to 1000 Layers
March 3, 2022, 5:51 p.m. | Synced
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A Microsoft research team proposes DeepNorm, a novel normalization function that improves the stability of transformers to enable scaling that is an order of magnitude deeper (more than 1,000 layers) than previous deep transformers.
The post Microsoft Improves Transformer Stability to Successfully Scale Extremely Deep Models to 1000 Layers first appeared on Synced.
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