DanOPT/sl-perceptron

Single-Layer Perceptron Visualization App

This interactive application is designed to teach the fundamental concepts of perceptrons and their role in solving basic logical operations. Key learning points include:

1. 1.Understanding how perceptrons work as simple neural network units.
2. 2.Visualizing decision boundaries.
3. 3.Exploring the impact of weights and bias on the perceptron's output for solving logical operations (AND, OR, XOR).
4. 4.Demonstrating the concept of linear separability in machine learning.
5. 5.Illustrating why certain logical operations (like XOR) cannot be solved by a single perceptron.

Adjust weights and bias in real-time, observe how these changes affect the perceptron's ability to correctly classify inputs for different logical operations. The app provides immediate visual feedback through an interactive plot and text-based results, helping learners grasp the relationship between perceptron parameters and their problem-solving capabilities.