A full-stack web application to demonstrate how a convolutional neural network works with a fun game, Go!
This project is an implementation of BetaGo and uses its libraries to generate and serve a model to predict moves.
The web client is written in Angular 7.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
If you are on a Windows machine, the only available Tensorflow python library is 64-bit Python 3.5.x or Python 3.6.x. The python 3 packages are listed in the requirements.txt file. For the frontend Angular 7 you should install the latest release Node.
For the generate model and serve model backends use the command below in each directory.
pip install -r /path/to/requirements.txt
- Tensorflow - Keras backend implementation
- Keras - Convolutional neural network implementation
- Python 3 - Backend programming language
- Flask - Backend Http Server to serve the model
- BetaGo - SGF library files, tar extraction and model generation
- Angular - Web Client frontend
- Angular Material - Web UI Components
If you want to contribute to this project you can email me at antkaynak1@gmail.com or you can pull a request.
This project does not have versioning and made with learning purposes.
- Ant Kaynak - Initial work - antkaynak
This project is licensed under the MIT License - see the LICENSE.md file for details
- Huge thanks to the developers and contributers at BetaGo for making this project possible.
- This project is part of my Design Project I course.