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Feb 28, 2025 · GELU, introduced by Dan Hendrycks and Kevin Gimpel in their 2016 paper “Gaussian Error Linear Units (GELUs),” has gained prominence for its ability to enhance the learning capabilities of neural networks.

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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.

Jul 21, 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...

Jul 8, 2020 · 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 …

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.

Oct 17, 2022 · Code tutorial for GELU, Gaussian Error Linear Unit activation function. Includes bare python, Tensorflow and Pytorch code. Gaussian Error Linear Unit, GELU, is the most-used activation function in state-of-the-art models including BERT, GPT, Vision Transformers, etc..

Apr 2, 2024 · GeLU（Gaussian Error Linear Unit）是一种激活函数，常用于神经网络中的非线性变换。 它在 Transformer模型 中广泛应用于FFN（Feed-Forward Network）块。 下面是GeLU的计算公式： 假设输入是一个标量 x，GeLU的计算公式如下：

高斯误差线性单元激活函数 （Gaussian Error Linear Units (GELUS)）在最近的 Transformer 模型（谷歌的 BERT 和 OpenAI 的 GPT-2）中得到了应用。 GELU 的论文来自 2016 年，但直到最近才引起关注，2020年7月作者更新了文章。 论文链接： arxiv.org/abs/1606.0841. 这种激活函数的形式为： GELU (x)=x \times P (X<=x)=x \times \phi (x), x \sim N (0, 1) x 是输入值， X 是具有 零均值 和 单位方差 的高斯随机变量。 P (X<=x)是X小于或等于给定值x的概率。