ยป Keras API reference / Built-in small datasets / MNIST digits classification dataset

MNIST digits classification dataset

load_data function

tf.keras.datasets.mnist.load_data(path="mnist.npz")

Loads the MNIST dataset.

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.

Arguments

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

Returns

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.