juniorNeural Networks
What is a Neural Network?
Updated May 17, 2026
Short answer
A neural network is a computational model inspired by the human brain that learns patterns from data using interconnected layers of nodes (neurons).
Deep explanation
Neural networks consist of input, hidden, and output layers. Each neuron applies weights, bias, and activation functions to transform inputs. Training adjusts weights using backpropagation to minimize loss.
Real-world example
Used in image recognition, such as detecting objects in photos.
Common mistakes
- Thinking neural networks 'think' like humans
- they only approximate mathematical functions.
Follow-up questions
- What is a neuron in a neural network?
- Why do we need activation functions?