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TensorFlow 1 version
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View source on GitHub
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Loads the Fashion-MNIST dataset.
tf.keras.datasets.fashion_mnist.load_data()
Used in the notebooks
| Used in the guide | Used in the tutorials |
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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:
| Label | Description |
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| 0 | T-shirt/top |
| 1 | Trouser |
| 2 | Pullover |
| 3 | Dress |
| 4 | Coat |
| 5 | Sandal |
| 6 | Shirt |
| 7 | Sneaker |
| 8 | Bag |
| 9 | Ankle boot |
Returns | |
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Tuple of Numpy arrays: (x_train, y_train), (x_test, y_test).
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,). |
License:
The copyright for Fashion-MNIST is held by Zalando SE. Fashion-MNIST is licensed under the MIT license.