Gaussian Error Linear Unit | Learn CPlusPlus

Learn C++27 Sep, 2024Other

The Gaussian Error Linear Unit (GELU) is an advanced activation function used in machine learning, particularly in neural networks. Unlike ReLU, GELU introduces stochastic behavior, approximating dropout regularization. It enables smoother learning by applying a Gaussian distribution to inputs, improving training stability and model performance. GELU is widely used in transformers and natural language processing tasks, making it a preferred choice for cutting-edge AI applications. To learn more about it , Please visit Learn CPlusPlus blog post.