|TensorFlow 1 version||View source on GitHub|
Loads CIFAR100 dataset.
Compat aliases for migration
See Migration guide for more details.
tf.keras.datasets.cifar100.load_data( label_mode='fine' )
This is a dataset of 50,000 32x32 color training images and 10,000 test images, labeled over 100 fine-grained classes that are grouped into 20 coarse-grained classes. See more info at the CIFAR homepage.
||one of "fine", "coarse". If it is "fine" the category labels are the fine-grained labels, if it is "coarse" the output labels are the coarse-grained superclasses.|
Tuple of Numpy arrays:
x_train, x_test: uint8 arrays of RGB image data with shape
(num_samples, 3, 32, 32) if the
y_train, y_test: uint8 arrays of category labels with shape (num_samples, 1).
in case of invalid