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Perceptrons_As_Logical_Operators

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This repository contains an implementation of Perceptrons as Logical Operators using Pandas.

Overview

In this repository, we'll see one of the many great applications of perceptrons. As logical operators! You'll have the chance to create the perceptrons for the most common of these, the AND, OR, and NOT operators. And then, we'll see what to do about the elusive XOR operator. Let's dive in!

Requirements

To run the code in the Jupyter Notebook, you need to have Python installed on your system along with the following libraries:

  • pandas

You can install these libraries using pip:

pip install pandas

Usage

  1. Clone this repository to your local machine:
git clone https://github.com/BaraSedih11/Perceptrons-as-Logical-Operators.git
  1. Navigate to the repository directory:
cd perceptronAsLogicalOperators
  1. Open and run the Jupyter Notebook PerceptronAsLogicalOperators.ipynb using Jupyter Notebook or JupyterLab.

  2. Follow along with the code and comments in the notebook to understand how perceptron algorithms as logical operators is implemented using Python.

Acknowledgements

  • pandas: The pandas library for data manipulation and analysis in Python.

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Applying Perceptrons as Logical Operators using Pandas

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