GELU
GELU (Gaussian Error Linear Unit) is a smooth activation function that scales input values by the cumulative distribution function of the standard normal distribution, commonly used in BERT and modern Transformers.
Frequently Asked Questions
What is the benefit of GELU over standard ReLU?▼
GELU is differentiable at all points and allows a small non-zero gradient for negative inputs, preventing "dead neuron" issues.
Which model popularized the use of GELU?▼
BERT (Bidirectional Encoder Representations from Transformers) in 2018.
Quick Facts
- CategoryMathematical Foundations
- Key ApplicationTransformer architecture activation, neural network design, and model training.
Coverage Trend12 Weeks
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