Skip to content

Latest commit

 

History

History
22 lines (16 loc) · 609 Bytes

README.md

File metadata and controls

22 lines (16 loc) · 609 Bytes

MNIST Classification

The Aim of this project is to classify hand-written digits from 0 to 9 using machine learning and deep learning models.

Frameworks

  • Scikit-learn
  • Pytorch

Contributing:

  • Fork the repo
  • Clone the repo
  • Create your branch
  • Make your changes
  • Commit and push upstream
  • Open PR
  • Add proper description of your contribution
  • Note: not all PRs will be accepted

References:

['Deng, L. (2012). The mnist database of handwritten digit images for machine learning research. IEEE Signal Processing Magazine, 29(6), 141–142.'](http://yann.lecun.com/exdb/mnist/)