|View source on GitHub|
Loads the Fashion-MNIST dataset.
Compat aliases for migration
See Migration guide for more details.
This is a dataset of 60,000 28x28 grayscale images of 10 fashion categories, along with a test set of 10,000 images. This dataset can be used as a drop-in replacement for MNIST. The class labels are:
| Tuple of Numpy arrays: |
x_train, x_test: uint8 arrays of grayscale image data with shape (num_samples, 28, 28).
y_train, y_test: uint8 arrays of labels (integers in range 0-9) with shape (num_samples,).
The copyright for Fashion-MNIST is held by Zalando SE. Fashion-MNIST is licensed under the MIT 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.