Implementation of a neural network trained on the MNIST handwritten digits dataset. I used this as an excercise to apply my theoretical knowledge about neural networks and machine learning and experiment with realistic data. This project is built with PyTorch.
- Create and activate your python environment
- Install dependencies
pip3 install -r requirements.txt- Download the dataset
python3 ./core/dataset.py- Start the app
streamlit run app.pyNow you can visit the app at http://localhost:8501 and start training, evaluating and testing the model.