perceptron-prasath 0.0.1

A small package for perceptron

Perceptron Python Package

References -

• Official python docs from PYPI

A simple implementation of the Perceptron algorithm using only Python and NumPy. This notebook demonstrates the foundational concepts behind binary classification through a hands-on example using the AND logic gate.

🧠 What is a Perceptron? The Perceptron is one of the earliest types of artificial neural networks, used for binary classifiers. It performs classification by computing a weighted sum of inputs and applying an activation function.

📁 Project Structure Perceptron.ipynb: Main notebook with complete implementation and usage demonstration.

Trains the model on the AND logic gate dataset.

Includes methods for:

Forward propagation

Weight updates

Loss calculation

Model saving/loading

🚀 Features Implementation of the perceptron class from scratch (no ML libraries).

Visual inspection of the training process.

Save and reload trained models using joblib.