What is the MNIST dataset in Keras?
The
The handwritten digits have been normalized and centered on maintaining consistency. The load_data() function is used to load the dataset from keras.
Syntax
tensorflow.keras.datasets.mnist.load_data(path="mnist.npz")
Arguments
path: the relative path where to cache. This parameter is optional.
Return value
It returns two tuples with NumPy arrays. The tuples are in the form (X_train, y_train), (X_test, y_test).
X_train: Training data that consists of grayscale images. It has the shape (60000, 28, 28) and the dtype of uint8. The pixel value varies between 0 to 255.y_train: Training labels with integers from 0-9 with dtype of uint8. It has the shape (60000,).X_test: Testing data that consists of grayscale images. It has the shape (10000, 28, 28) and the dtype of uint8. The pixel value varies between 0 to 255.y_test: Testing labels that consist of integers from 0-9 with dtype uint8. It has the shape (10000,).
Code
import tensorflow as tf(X_train, y_train), (X_test, y_test) = tf.keras.datasets.mnist.load_data()print('Shape of X_train: ', X_train.shape)print('Shape of y_train: ', y_train.shape)print('Shape of X_test: ', X_test.shape)print('Shape of y_test: ', y_test.shape)
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