GELU : Gaussian Error Linear Unit Code (Python, TF, Torch)

Author(s): Konstantinos Poulinakis

Originally published on Towards AI.

Code tutorial for GELU, Gaussian Error Linear Unit activation function. Includes bare python, Tensorflow and Pytorch code.

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Photo by Markus Winkler on Unsplash

Gaussian Error Linear Unit, GELU, is the most-used activation function in state-of-the-art models including BERT, GPT, Vision Transformers, etc..

If you want to understand the intuition and math behind GELU I suggest you check my previous article covering the GELU paper (GELU, the ReLU Successor? Gaussian Error Linear Unit Explained). The motivation behind GELU is to bridge stochastic regularizers, such as dropout, with non-linearities, i.e., activation functions. Huge transformer models like BERT and GPT made GELU activation function very popular.

Gaussian Error Linear Unit, GELU, combines… Read the full blog for free on Medium.

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Published via Towards AI