mnist_tutorial

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

My results

• pytorch == 1.8.0
• scikit-learn == 0.24.1

Question	Train Accuracy	Test Accuracy
1	97.43	87.60
2	81.95	80.60
3	97.98	86.20
4	94.10	88.70
5	99.83	99.56

Code structure

• 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

Requirements

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

For students from SJTU

Please read HEAR.