• Windows 10
• Python 3.8.5(64-bit,Anaconda)
• matplotlib 3.3.2
• scikit-learn 0.23.2
• pytorch 1.7.1
• numpy 1.19.1

Pytorch is used.CUDA version: 11.1.

A tutorial for mnist hand writen digit classification using sklearn, pytorch and keras. A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

• numpy_matplotlib_sklearn.ipynb: for numpy, matplotlib and sklearn.
• pytorch.ipynb: for pytorch.
• keras.ipynb: for keras.
• Reference solution: (not published yet)
  • numpy_matplotlib_sklearn_solution.ipynb
  • pytorch_solution.ipynb
  • keras_solution.ipynb

Code tested on following environments, other version should also work:

• linux system (ubuntu 16.04)
• python 3.6.3
• numpy 1.13.3
• matplotlib 2.1.0
• sklearn 0.19.1
• pytorch 0.4.1
• keras 2.1.2

Please read HEAR.