Why do Transformer models like BERT use GELU instead of the traditional ReLU activation function? The answer lies in how these functions process information. While ReLU completely removes negative inputs, GELU uses a smooth, input-dependent mechanism to decide how much information should pass through. This small mathematical difference can influence how neural networks learn complex […]The post GELU Activation Function Explained: How It Works and Why Transformers Use It appeared first on Analytics Vidhya.