AIcupTutorial

NDHU AI Lab - AICup Tutorial

Introduction

There are 3 AI models required to train in this contest, namely Dan, Kyu, and Play Style models. The baseline models are trained by using TensorFlow 2.9 and shared in this repository.

File Structure

• CSVs: Dataset folder for training and testing
• Dan Training Tutorial.ipynb: Baseline model training of Dan dataset
• Kyu Training Tutorial.ipynb: Baseline model training of Kyu dataset
• PlayStyle Training Tutorial.ipynb: Baseline model training of PlayStyle dataset
• Create Public Upload CSV.ipynb: Predictions by using the baseline models
• model_dan_tutorial.h5: Baseline model of Dan dataset
• model_kyu_tutorial.h5: Baseline model of Kyu dataset
• model_playstyle_tutorial.h5: Baseline model of PlayStyle dataset
• public_submission_template: Predictions for public testing datasets

To generate the baseline models, you can follow tutorial notebooks.

For submission, you can follow Create Public Upload CSV.ipynb notebook.