University of South Florida Researchers Propose TeLU Activation Function for Fast and Stable Deep Learning
Inspired by the brain, neural networks are essential for recognizing images and processing language. These networks rely on activation functions, which enable them to learn complex patterns. However, many activation functions face challenges. Some struggle with vanishing gradients, which slows learning in deep networks, while others suffer from “dead neurons,” where certain parts of the […]
The post University of South Florida Researchers Propose TeLU Activation Function for Fast and Stable Deep Learning appeared first on MarkTechPost.
Summary
Researchers at the University of South Florida have proposed a new activation function called TeLU for deep learning. Activation functions are crucial for neural networks to learn complex patterns, but existing functions face issues like vanishing gradients and dead neurons. TeLU aims to address these challenges and improve the speed and stability of deep learning processes.
This article was summarized using ChatGPT