MNIST Dataset : Digit Recognizer

python-mnist

This dataset is made up of 1797 8x8 images. Each image, like the one shown below, is of a hand-written digit. In order to utilize an 8x8 figure like this, we’d have to first transform it into a feature vector with length 64 link.

• See here for more information about this dataset.

Requirements

• Python 3.7 64bit

Installation

• Get the package from PyPi :
• All requirement that you will need its exist in requirements.txt so you just need to run this command :

!pip install -r requirements.txt

EMNIST

• Get EMNIST data :

print(__doc__)


# Code source: Gaël Varoquaux
# Modified for documentation by Jaques Grobler
# License: BSD 3 clause

from sklearn import datasets

import matplotlib.pyplot as plt

#Load the digits dataset
digits = datasets.load_digits()

#Display the first digit
plt.figure(1, figsize=(3, 3))
plt.imshow(digits.images[-1], cmap=plt.cm.gray_r, interpolation='nearest')
plt.show()

Test

Congratulation.

For Script Version

• Open the digit_recognizer_scripte/main.py and edit it as you want.
  
  

For Notebook Version

• Open the notebook digit_recognizer_notebook/main.ipynb and edit it as you want.
  
• main.ipynb

Authors

• El Houcine ES SANHAJI - Initial work - essanhaji

Thank you.