🧠 The Perceptron

The fundamental building block of neural networks — watch it classify in real-time

🎛️ Inputs & Weights

2.0
0.8
1.0
0.5
-1.0

⚡ Activation Function

🔢 Perceptron Computation

Weighted Sum: z = 2.0×0.8 + 1.0×0.5 + (-1.0) = 1.1
Activation: a = σ(1.1) = 0.751

0.751

Class: Positive (a ≥ 0.5)

📈 Activation Function

Sigmoid σ(z)
Current z value

🎯 Decision Boundary

Click to add data points • The line shows where the perceptron divides classes

Class 1 (a ≥ 0.5)
Class 0 (a < 0.5)
Decision Boundary