import tensorflow as tf
from tensorflow import keras
import matplotlib.pyplot as plt
import numpy as np
from tensorflow.keras.layers import Dense,Flatten,Conv2D,MaxPooling2D,Dropout
from tensorflow.keras.models import Sequential
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.datasets import cifar10
%matplotlib inline
plt.style.use('fivethirtyeight')

(X_train,y_train),(X_test,y_test)= cifar10.load_data()

print(type(X_train))
print(type(y_train))
print(type(X_test))
print(type(y_test))

# Get the Shape
print(X_train.shape,y_train.shape)

X_test.shape,y_test.shape