Loads the Fashion-MNIST dataset.
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 classes are:
(x_train, y_train), (x_test, y_test).
x_train: uint8 NumPy array of grayscale image data with shapes
(60000, 28, 28), containing the training data.
y_train: uint8 NumPy array of labels (integers in range 0-9)
(60000,) for the training data.
x_test: uint8 NumPy array of grayscale image data with shapes (10000, 28, 28), containing the test data.
y_test: uint8 NumPy array of labels (integers in range 0-9)
(10000,) for the test data.
(x_train, y_train), (x_test, y_test) = fashion_mnist.load_data() assert x_train.shape == (60000, 28, 28) assert x_test.shape == (10000, 28, 28) assert y_train.shape == (60000,) assert y_test.shape == (10000,)
License: The copyright for Fashion-MNIST is held by Zalando SE. Fashion-MNIST is licensed under the MIT license.