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1. pject folder:
cd inside

2. create environment:
python -m venv .venv

3. Activate environment:
.venv\Scripts\Activate

4. Install PyTorch with CUDA 12.1:
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121

5. Check that the GPU is available:
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"

6. Install the remaining required packages:
pip install numpy pip install tqdm pip install matplotlib pip install tensorboard

7. Start training:
python train.py

Training saves after 10,000 hands and prints results. Interested to see what number of hands it gets per second....

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