tf.keras.datasets.fashion_mnist.load_data
Stay organized with collections
Save and categorize content based on your preferences.
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]
TensorFlow 1 version
View source on GitHub