In the AI Battle project, we will focus on learning about neural networks in Week 3~4.
- Learn to program in Python
- Understand the basic usage of Pytorch
- Explore how neural networks work
- Catch a glimpse of some classic neural network architectures
- CNN
- ResNet
- Transformer
- ...
- Train a neural network model for playing Gomoku 9x9
Only the environment installation guide for ubuntu is provided.
https://docs.conda.io/en/latest/miniconda.html
conda create -n "your_venv_name" python=3.9
conda activate your_venv_name
If you have a discrete graphics card, use the following installation instructions.
conda install pytorch=1.11.0 torchvision torchaudio cudatoolkit=11.3 -c pytorch
conda install pytorch=1.11.0 torchvision torchaudio cpuonly -c pytorch
conda install tensorboardX
Download the dataset for Gomoku 9x9 and unzip it into the directory of this repository.
https://jbox.sjtu.edu.cn/l/H1Ci9a
Start training a neural network model for Gomoku 9x9:
python main.py
During the training process, the latest model will pit against a old version model and the random-player every 10 rounds.
The training will last for 50 iterations.
Play AI-AI or human-AI battles.
python pit.py