juniorNeural Networks
What is a bias in neural networks?
Updated May 17, 2026
Short answer
Bias is a parameter that shifts the activation function.
Deep explanation
It allows the model to fit data better by adjusting output independently of input.
Real-world example
Helps model learn patterns even when inputs are zero.
Common mistakes
- Ignoring bias leads to poor model fit.
Follow-up questions
- Why is bias needed?
- Is bias same as statistical bias?