juniorNeural Networks
What is a neural network layer?
Updated May 17, 2026
Short answer
A layer is a group of neurons that transform input data.
Deep explanation
Layers extract hierarchical features. Input layers receive data, hidden layers learn patterns, output layers produce predictions.
Real-world example
CNN layers detect edges, textures, and objects.
Common mistakes
- Thinking more layers always improve performance.
Follow-up questions
- What is a hidden layer?
- Why deep networks work better?