My Solution

Environment

• 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

Solution

Pytorch is used.CUDA version: 11.1.

Question	Train Acc. (%)	Test Acc. (%)
Q1	97.22%	87.90%
Q2	82.00%	81.50%
Q3	97.97%	85.20%
Q4	92.25%	88.40%
Q5	97.61%	97.88%

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mnist_tutorial

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.

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.