Content Deep Dive
Activation Functions In Neural Networks Explained
Company
AssemblyAI
Date Published
Dec. 9, 2021
Author
Patrick Loeber
Word count
45
Language
English
Hacker News points
None
URL
www.assemblyai.com/blog/activation-functions-in-neural-networks-explained
Summary
The text discusses the concept of Activation Functions in Neural Networks. It explains their definition, purpose, different types such as Step Functions, Sigmoid, TanH, ReLU, Leaky ReLU, and Softmax, and how to use them in code.