!pip install tensorflow
from tensorflow.keras.datasets.mnist import load_data
data=load_data()
Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz
11493376/11490434 [==============================] - 0s 0us/step
type(data)
data[0]
print('il contient plusieurs tableaux à 3 dimensions avec uniquement des zéros ainsi que un deuxième tableau à une dimensions')
import matplotlib.pyplot as plt
plt.show(data[0])
from keras.datasets import mnist
(X_train, Y_train), (X_test, Y_test) = mnist.load_data()
print(X_train.shape)
print(Y_train.shape)
(60000, 28, 28)
(60000,)
from sklearn.linear_model import LinearRegression
import numpy as np
X_train.reshape()
Y_test.reshape()