|TensorFlow 1 version||View source on GitHub|
Loads the MNIST dataset.
Compat aliases for migration
See Migration guide for more details.
tf.keras.datasets.mnist.load_data( path='mnist.npz' )
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,).
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.