本文介绍了一些常用的激活函数，包括：elu、selu、gelu等激活函数及其在当前激活函数众多的情况下使用的环境。总体而言：gelu激活函数代替relu成为了一种更为普遍的激活函数！

In this project, we implemented GELU and Mish[7] as alternative activation functions for XLNet. We then monitored the pretraining behavior of XLNet, and results showed that Mish helps …

Aug 17, 2024 · The GELU activation function has been found to perform better than other activation functions in some tasks, especially in transformer models. It is used in the most …

对激活函数的研究一直没有停止过，ReLU还是统治着深度学习的激活函数，不过，这种情况有可能会被Mish改变。 Diganta Misra的一篇题为“Mish: A Self Regularized Non-Monotonic Neural …

Nov 2, 2022 · 常见的激活函数如ReLU、Sigmoid、Tanh各有特点，而像Swish、Mish和GELU等则是近年来提出的改进版本。Log-Softmax常用于多分类问题的输出层，将原始分数转换为概率 …

Jan 21, 2020 · Mish is more computationally cheaper than GELU. Using device optimized code like CUDA_Mish for GPU and CPU_mish have made it significantly faster and cheaper to …

Aug 16, 2024 · Mish() can get the 0D or more D tensor of the zero or more values computed by Mish function from the 0D or more D tensor of zero or more elements as shown below: …

Mish provides much better accuracy, overall lower loss, smoother and well conditioned easy-to-optimize loss landscape as compared to both Swish and ReLU. For all loss landscape …

Sep 10, 2021 · Gaussian Error Linear Unit (GELU) The Gaussian Error Linear Unit, or GELU, was proposed in a 2016 paper by Hendrycks & Gimpel. The function simply multiplies its input with …

May 10, 2020 · GELU (Gaussian Error Linear Unit) The GELU nonlinearity is the expected transformation of a stochastic regularizer which randomly applies the identity or zero map to a …