This is a dataset of 60,000 28x28 grayscale images of the 10 digits, along with a test set of 10,000 images. More info can be found at the MNIST homepage.
- Anaconda or Miniconda
- Python
- Numpy for linear algebra
- Matplotlib for Visualization
- Keras for Datasets
git clone git@github.com:l2md3v/digit-recognition.git
cd digit-recognition
conda env create -f environment.yml
conda activate digit-recognitionopen the jupyter notebook and run the cells
jupyter notebookThis project is licensed under the MIT License - see the LICENSE file for details.