The Smallest Brain You Can Build: A Perceptron in Python
4 hours ago
- #machine-learning
- #perceptron
- #neural-networks
- A perceptron is the simplest unit of a neural network, inspired by a single neuron, and outputs a yes/no decision based on input.
- It works by computing output = 1 if (w · x + b) > 0 else 0, where x is input, w is weight, and b is bias.
- Bias is crucial for moving the decision boundary away from zero; without it, the perceptron cannot learn patterns not centered at zero.
- Learning occurs through epochs and a learning rate, with weight and bias updated based on error to reduce mistakes over time.
- Normalizing data (e.g., scaling inputs to a small range) helps improve training speed and stability, especially when inputs vary in scale.