|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' )
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.
| || path where to cache the dataset locally (relative to |
| Tuple of Numpy arrays: |
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.
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.