Multi Layer Perceptron

Implementation of a basic multilayer perceptron using C++ without any external libraries. Qt framework is used for GUI, project is written according to MVC design pattern. The project is a part of the School 21 curriculum.

Table of Contents

• About
  • Features
• Getting Started
  • Prerequisites
  • Installing
• Running the tests
• Usage
• Built Using
• Authors
• Acknowledgements
• License

About

This project is a basic implementation of a multilayer perceptron. It allows to train and test the model on a given dataset. The project is written in C++ without any external libraries. The GUI is implemented using the Qt framework. The project is written according to the MVC design pattern.

Features

• Learning on given training dataset using cross-validation
• Testing trained model with built-in drawing field or by importing pre-drawn image
• Configure model properties for training such as:
  • Perceptron implementation type
    • Matrix
    • Graph
  • Number of hidden layers
  • Number of neurons (units) per hidden layer
  • Learning rate
  • Activation Function
    • Sigmoid
    • Leaky ReLU
    • Linear
    • Bipolar Sigmoid
  
• Import pretrained model
• Testing trained model on testing dataset

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

What things you need to install the software and how to install them.

cmake >= 3.10
gcc >= 7.5.0
Qt >= 6.5.0

sudo apt-get install cmake
sudo apt-get install gcc
sudo apt-get install qt6-base-dev

Installing

A step by step series of examples that tell you how to get a development env running.

Clone the repository.

git clone

cd MonitoringSystem

Run the Makefile with the following command:

make install

Running the tests

Explain how to run the automated tests for this system.

make test

Usage

To run the project, execute the following command:

./SimpleMLP

Built Using

• C++ - Programming language
• CMake - Build system
• Qt - GUI framework
• Google Test - Testing framework

Authors

This project was developed by:

	LudwigAndreas
	AndrefHub

Acknowledgements

• School 21 - Educational institution.
• Dmitriy Korobchenko for video explaining maths behind back propagation algorithm.

License

This project is licensed under the School 21 License - see the LICENSE file for details.