Overview of Neural Network Activation Functions: From ReLU to GELU

Overview of Neural Network Activation Functions: From ReLU to GELU

Selected from | mlfromscratch Author | Casper Hansen Source | 机器之心 Contributors | 熊猫、杜伟 The importance of activation functions in neural networks is self-evident. Casper Hansen from the Technical University of Denmark introduces the sigmoid, ReLU, ELU, and the newer Leaky ReLU, SELU, and GELU activation functions through formulas, charts, and code experiments, comparing their … Read more

Beyond ReLU: The GELU Activation Function in BERT and GPT-2

Beyond ReLU: The GELU Activation Function in BERT and GPT-2

Reported by Machine Heart Machine Heart Editorial Team At least in the field of NLP, GELU has become the choice of many industry-leading models. As the “switch” that determines whether a neural network transmits information, the activation function is crucial for neural networks. However, is the ReLU commonly used today really the most efficient method? … Read more