dataset_fashion_mnist: Fashion-MNIST database of fashion articles

Description Usage Details Value See Also

View source: R/datasets.R

Description

Dataset of 60,000 28x28 grayscale images of the 10 fashion article classes, 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 encoded as integers from 0-9 which correspond to T-shirt/top, Trouser, Pullover, Dress, Coat, Sandal, Shirt,

Usage

1

Details

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:

Value

Lists of training and test data: train$x, train$y, test$x, test$y, where x is an array of grayscale image data with shape (num_samples, 28, 28) and y is an array of article labels (integers in range 0-9) with shape (num_samples).

See Also

Other datasets: dataset_boston_housing(), dataset_cifar100(), dataset_cifar10(), dataset_imdb(), dataset_mnist(), dataset_reuters()


keras documentation built on Feb. 10, 2022, 1:08 a.m.