tiesen243 / neural-network

This project is a simple implementation of a neural network with a single layer of perceptrons. The neural network is trained to prediction type of product based on its width and height.

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Trainning neural network with perceptron

Table of Contents

Introduction

This project is a simple implementation of a neural network with a single layer of perceptrons. The neural network is trained to prediction type of product based on its width and height. The dataset is generated with random values and the neural network is trained with the perceptron learning algorithm.

Dependencies

  • Python 3.12
  • Numpy
  • Matplotlib
  • Pandas
  • Scikit-learn
  • Jupyter
conda create --name neural-network python=3.12
conda activate neural-network
conda install --file requirements.txt

Usage

jupyter notebook

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

MIT

About

This project is a simple implementation of a neural network with a single layer of perceptrons. The neural network is trained to prediction type of product based on its width and height.

License:MIT License


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Language:Jupyter Notebook 100.0%