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

2024年3月18日 · 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 …

2019年7月21日 · 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 …

2016年6月27日 · We propose the Gaussian Error Linear Unit (GELU), a high-performing neural network activation function. The GELU activation function is $xΦ(x)$, where $Φ(x)$ the …

Applies the Gaussian Error Linear Units function. GELU ( x ) = x ∗ Φ ( x ) \text{GELU}(x) = x * \Phi(x) GELU ( x ) = x ∗ Φ ( x ) where Φ ( x ) \Phi(x) Φ ( x ) is the Cumulative Distribution …

6 天之前 · The Gaussian Error Linear Unit, or GELU, is one such activation function that has gained prominence for its performance in various deep learning tasks. It's designed to …

2022年10月17日 · Code tutorial for GELU, Gaussian Error Linear Unit activation function. Includes bare python, Tensorflow and Pytorch code. Gaussian Error Linear Unit, GELU, is the …

2023年8月10日 · The GELU activation function, introduced by , is a smooth and differentiable approximation of the rectifier function. It has gained popularity in deep learning due to its …

2022年8月30日 · Demystifying GELU. The motivation behind GELU activation is to bridge stochastic regularizers, such as dropout, with non-linearities, i.e., activation functions. Dropout …

2019年4月11日 · 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 …