juniorKeras
What is an activation function in Keras?
Updated May 16, 2026
Short answer
Activation functions introduce non-linearity into neural networks.
Deep explanation
They help models learn complex patterns by transforming outputs of neurons.
Real-world example
ReLU used in image recognition models.
Common mistakes
- Using linear activation in hidden layers.
Follow-up questions
- What is ReLU?
- Why not use sigmoid everywhere?