devleo-m / ia-perceptron

Basic implementation of a Perceptron in Python. The Perceptron is trained with input data, adjusting weights and bias to predict outputs based on new values.

Perceptron Neural Network

Overview

This project is a demonstration of a basic implementation of a Perceptron Neural Network in Python. It involves training the network using random weights and bias, followed by testing it with specific input.

How It Works

The Perceptron is trained using a dataset, adjusting weights and bias to match the provided inputs. Once trained, it can predict outputs based on new input values.

Testing

To test the trained Perceptron, modify the entrada_teste variable in the ia-perceptron-de-resenblatt.py script with new values and execute the script again.