/plushcap/analysis/assemblyai/activation-functions-in-neural-networks-explained

Activation Functions In Neural Networks Explained

What's this blog post about?

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.

Company
AssemblyAI

Date published
Dec. 9, 2021

Author(s)
Patrick Loeber

Word count
45

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.