tf.keras.datasets.fashion_mnist.load_data
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Loads the Fashion-MNIST dataset.
tf.keras.datasets.fashion_mnist.load_data()
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 class labels are:
| Label |
Description |
| 0 |
T-shirt/top |
| 1 |
Trouser |
| 2 |
Pullover |
| 3 |
Dress |
| 4 |
Coat |
| 5 |
Sandal |
| 6 |
Shirt |
| 7 |
Sneaker |
| 8 |
Bag |
| 9 |
Ankle boot |
Returns |
|---|
Tuple of Numpy arrays: (x_train, y_train), (x_test, y_test).
x_train, x_test: uint8 arrays of grayscale image data with shape
(num_samples, 28, 28).
y_train, y_test: uint8 arrays of labels (integers in range 0-9)
with shape (num_samples,).
|
License:
The copyright for Fashion-MNIST is held by Zalando SE.
Fashion-MNIST is licensed under the MIT license.
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.fashion_mnist.load_data\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/keras/datasets/fashion_mnist/load_data) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.2.0/tensorflow/python/keras/datasets/fashion_mnist.py#L30-L91) |\n\nLoads the Fashion-MNIST dataset.\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.fashion_mnist.load_data`](/api_docs/python/tf/keras/datasets/fashion_mnist/load_data)\n\n\u003cbr /\u003e\n\n tf.keras.datasets.fashion_mnist.load_data()\n\nThis is a dataset of 60,000 28x28 grayscale images of 10 fashion categories,\nalong with a test set of 10,000 images. This dataset can be used as\na drop-in replacement for MNIST. The class labels are:\n\n| Label | Description |\n|-------|-------------|\n| 0 | T-shirt/top |\n| 1 | Trouser |\n| 2 | Pullover |\n| 3 | Dress |\n| 4 | Coat |\n| 5 | Sandal |\n| 6 | Shirt |\n| 7 | Sneaker |\n| 8 | Bag |\n| 9 | Ankle boot |\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 grayscale image data with shape (num_samples, 28, 28). **y_train, y_test**: uint8 arrays of labels (integers in range 0-9) with shape (num_samples,). ||\n\n\u003cbr /\u003e\n\n#### License:\n\nThe copyright for Fashion-MNIST is held by Zalando SE.\nFashion-MNIST is licensed under the [MIT license](https://github.com/zalandoresearch/fashion-mnist/blob/master/LICENSE)."]]
TensorFlow 1 version
View source on GitHub