🧠 Perceptron Learning Algorithm

Interactive visualization of a binary linear classifier learning a decision boundary

Perceptron Architecture

Current Weights

Weight w₁: 0.00
Weight w₂: 0.00
Bias b: 0.00
y = sign(w₁x₁ + w₂x₂ + b)
Class 0 (Blue)
Class 1 (Red)
Decision Boundary

Training Statistics

Epoch: 0
Errors: 0
Accuracy: 0%
Ready to train
Normal