Jul 20, 2019 · GELU aims to combine them. Also, a new RNN regularizer called Zoneout stochastically multiplies the input by 1. We want to merge all 3 functionalities by stochastically multiplying the input by 0...

activation (Union[str, Callable[[Tensor], Tensor]]) – the activation function of the intermediate layer, can be a string (“relu” or “gelu”) or a unary callable. Default: relu. layer_norm_eps (float) – the eps value in layer normalization components (default=1e-5).

torch.nn.functional. gelu (input, approximate = 'none') → Tensor ¶ When the approximate argument is ‘none’, it applies element-wise the function GELU ( x ) = x ∗ Φ ( x ) \text{GELU}(x) = x * \Phi(x) GELU ( x ) = x ∗ Φ ( x )

Aug 17, 2019 · gelu is smoother near zero and "is differentiable in all ranges, and allows to have gradients(although small) in negative range" which helps with this problem.

Mar 26, 2025 · In this article, we explained the GELU activation function and compared it with the popular ReLU activation function. Further, we described its benefits and discussed cases where it offers improved performance.

Apr 11, 2019 · This post explains the GELU activation function, which has been recently used in Google AI’s BERT and OpenAI’s GPT models. Both of these models have acheived state-of-the-art results in various NLP tasks. For the busy readers, this section covers the definition and implementation of the GELU activation.

Aug 30, 2022 · In this tutorial we aim to comprehensively explain how Gaussian Error Linear Unit, GELU activation works. Can we combine regularization and activation functions? In 2016 a paper from authors Dan Hendrycks and Kevin Gimpel came out. Since then, the paper now has been updated 4 times.

These activation functions comprise of Rectified Linear Units (ReLU), Exponential Linear Unit (ELU), Scaled Exponential Linear Unit (SELU), Gaussian Error Linear Unit (GELU), and the Inverse Square Root Linear Unit (ISRLU). To evaluate, experiments over two deep learning network architectures integrating these activation functions are conducted.

The Gaussian Error Linear Unit, or GELU, is an activation function. The GELU activation function is x Φ (x), where Φ (x) the standard Gaussian cumulative distribution function. The GELU …

May 25, 2023 · NLP CV SP Control. gelu/bert-finetuned-ner-accelerate. Token Classification • Updated May 25, 2023 • 10