tf.keras.datasets.cifar10.load_data
Stay organized with collections
Save and categorize content based on your preferences.
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 the 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).
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.datasets.cifar10.load_data\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/keras/datasets/cifar10/load_data) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.2.0/tensorflow/python/keras/datasets/cifar10.py#L31-L82) |\n\nLoads [CIFAR10 dataset](https://www.cs.toronto.edu/%7Ekriz/cifar.html).\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.datasets.cifar10.load_data`](/api_docs/python/tf/keras/datasets/cifar10/load_data)\n\n\u003cbr /\u003e\n\n tf.keras.datasets.cifar10.load_data()\n\nThis is a dataset of 50,000 32x32 color training images and 10,000 test\nimages, labeled over 10 categories. See more info at the\n[CIFAR homepage](https://www.cs.toronto.edu/%7Ekriz/cifar.html).\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| Tuple of Numpy arrays: `(x_train, y_train), (x_test, y_test)`. \u003cbr /\u003e **x_train, x_test** : uint8 arrays of RGB image data with shape (num_samples, 3, 32, 32) if the [`tf.keras.backend.image_data_format`](../../../../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). ||\n\n\u003cbr /\u003e"]]