tf.keras.datasets.mnist.load_data

TensorFlow 1 version View source on GitHub

Loads the MNIST dataset.

Used in the notebooks

Used in the guide Used in the tutorials

This is a dataset of 60,000 28x28 grayscale images of the 10 digits, along with a test set of 10,000 images. More info can be found at the (MNIST homepage)[http://yann.lecun.com/exdb/mnist/].

path path where to cache the dataset locally (relative to ~/.keras/datasets).

Tuple of Numpy arrays: (x_train, y_train), (x_test, y_test).

x_train, x_test: uint8 arrays of grayscale image data with shapes (num_samples, 28, 28).

y_train, y_test: uint8 arrays of digit labels (integers in range 0-9) with shapes (num_samples,).

License:

Yann LeCun and Corinna Cortes hold the copyright of MNIST dataset, which is a derivative work from original NIST datasets. MNIST dataset is made available under the terms of the Creative Commons Attribution-Share Alike 3.0 license.