Artificial Neural Network

This project implements a MultiLayer Perceptron, a feedforward neural network which uses the backpropagation algorithm for training.

For contributors

This project uses Poetry for dependency management (no packaging (yet)). Install Poetry, clone the repo, cd into it and run poetry install to work on the project.

Project Structure

 .
├── artificial_neural_network     # Source files
├── benchmarks                    # Files used for benchmarks
├── datasets                      # Datasets
├── tests                         # Automated tests
└── README.md

Running the project

You can run the notebook just by:

docker-compose up

then access http://127.0.0.1:8080/tree/artificial_neural_network to interact with the jupyter notebook

License

MIT License

Copyright (c) 2020 Matheus Westhelle, José Mario Reisswitz, Dieu Merci Kengele

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.