flâneur — a map of the web's best reading

ReLU Activation Function in Deep Learning - GeeksforGeeks

geeksforgeeks.org · 1,531 words · saved by 1 readers

Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more.

ReLU Activation Function in Deep Learning - GeeksforGeeks Courses Tutorials Interview Prep DSA Practice Problems C C++ Java Python JavaScript Data Science Machine Learning Courses Linux DevOps ReLU Activation Function in Deep Learning Last Updated : 15 Apr, 2026 ReLU is a widely used activation function in deep learning that outputs the input directly if it is positive and returns zero otherwise. Its simplicity and efficiency make it a default choice in many neural network architectures, helping models learn complex patterns while reducing issues like the vanishing gradient problem . Allows po

Explore this link on the map →

saved by

related reading