ErfReLU: adaptive activation function for deep neural network

• Published in: Pattern analysis and applications : PAA Vol. 27; no. 2
• Main Authors: Rajanand, Ashish, Singh, Pradeep
• Format: Journal Article
• Language: English
• Published: London Springer London 01.06.2024; Springer Nature B.V
• Subjects: Artificial neural networks; Computer Science; Deep learning; Error functions; Machine learning; Pattern Recognition; Performance evaluation; Theoretical Advances; Deep learning; Activation function; Image classification

Recent research has found that the activation function (AF) plays a significant role in introducing non-linearity to enhance the performance of deep learning networks. Researchers recently started developing activation functions that can be trained throughout the learning process, known as trainable...