Using logistic regression model and gradient descent learning algorithm to classify the MNIST dataset

Using logistic regression model and gradient descent learning algorithm to classify the MNIST dataset .

create file main.py contains the source code of the functions to be performed

(Write code on colab.research.google help me, thanks)

Then the results of the tests are the same as the requirements in the parts of the Assignment, stating the evaluation of the implementation results.

MNIST dataset (and this datasets - https://www.tensorflow.org/datasets/catalog/mnist

 http://yann.lecun.com/exdb/mnist/ OR DOWNLOAD https://github.com/mnielsen/rmnist/blob/master/data/mnist.pkl.gz OR a library of handwriting you know )

You can use any library

Assignment ( https://secufiles.com/7eq6/Assignment2_(1).pdf%20  )

Note: the test results are the same as required in the parts of the Assignment,

Functions to be calculated in Assignment