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TensorFlow 1 version
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View source on GitHub
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Loads the MNIST dataset.
tf.keras.datasets.mnist.load_data(
path='mnist.npz'
)
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 the 10 digits, along with a test set of 10,000 images. More info can be found at the MNIST homepage.
Arguments | |
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path
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path where to cache the dataset locally
(relative to ~/.keras/datasets).
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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 shapes (num_samples, 28, 28). y_train, y_test: uint8 arrays of digit labels (integers in range 0-9) with shapes (num_samples,). |
License:
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.