MNIST Prediction

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.

Requirements

• Anaconda or Miniconda

Tech Stack

• Python
• Numpy for linear algebra
• Matplotlib for Visualization
• Keras for Datasets

Installation

git clone git@github.com:tiesen243/digit-recognition.git
cd digit-recognition
conda env create -f environment.yml
conda activate digit-recognition

Usage

open the jupyter notebook and run the cells

jupyter notebook

License

This project is licensed under the MIT License - see the LICENSE file for details.

References

• Keras Datasets
• Oddly Satisfying Deep Learning