What is a Perceptron?
A Perceptron is the simplest form of a neural network, consisting of a single artificial neuron that makes binary decisions based on weighted inputs.
Key Characteristics:
• Single Layer: One neuron, multiple inputs
• Binary Output: Returns 0 or 1
• Linear Classifier: Draws a line to separate data
• Supervised Learning: Learns from examples
🎯 Think of it like...
A perceptron is like a bouncer at a club who makes yes/no decisions based on multiple criteria (age, dress code, ID) with different importance weights.
Perceptron Structure
Click on any component for detailed explanation!