Machine Learning Keras, Tensorflow source code for MNIST Dataset

 70,000 MNIST Hand  Writing Recognition - Logistic Regression 

from sklearn.datasets import fetch_openml
mnist = fetch_openml('mnist_784')
x,y = mnist['data'],mnist['target']

x,y = mnist['data'], mnist['target']

import matplotlib.pyplot as plt

some_digit = x_test[2813]

some_digit_image = some_digit.reshape(28,28)

 

plt.imshow(some_digit_image)

 

x_train, x_test = x[:60000], x[60000:]

y_train, y_test = y[:60000], y[60000:]

import numpy as np

shuffle_index = np.random.permutation(60000)

x_train, y_train = x_train[shuffle_index], y_train[shuffle_index]

 

 

from sklearn.linear_model import LogisticRegression

clf = LogisticRegression()

clf.fit(x_train, y_train)

 

some1 = x_test[2813]

some1.reshape(28,28)

clf.predict([some1]) 

 

Colab Notebook Link: 

MNIST Colab Notebook