tf.keras.datasets.cifar10.load_data
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Loads CIFAR10 dataset.
tf.keras.datasets.cifar10.load_data()
This is a dataset of 50,000 32x32 color training images and 10,000 test
images, labeled over 10 categories. See more info at the
CIFAR homepage.
Returns |
|---|
Tuple of Numpy arrays: (x_train, y_train), (x_test, y_test).
x_train, x_test: uint8 arrays of RGB image data with shape
(num_samples, 3, 32, 32) if tf.keras.backend.image_data_format() is
'channels_first', or (num_samples, 32, 32, 3) if the data format
is 'channels_last'.
y_train, y_test: uint8 arrays of category labels
(integers in range 0-9) each with shape (num_samples, 1).
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Last updated 2020-10-01 UTC.
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TensorFlow 1 version
View source on GitHub