dataset_cifar100: CIFAR100 small image classification
In rstudio/keras: R Interface to 'Keras'
dataset_cifar100 R Documentation
CIFAR100 small image classification
Description
Dataset of 50,000 32x32 color training images, labeled over 100 categories,
and 10,000 test images.
Usage
dataset_cifar100(label_mode = c("fine", "coarse"))
Arguments
label_mode
one of "fine", "coarse".
Value
Lists of training and test data: train$x, train$y, test$x, test$y.
The x data is an array of RGB image data with shape (num_samples, 3, 32, 32).
The y data is an array of category labels with shape (num_samples).
See Also
Other datasets:
dataset_boston_housing()
dataset_cifar10()
dataset_fashion_mnist()
dataset_imdb()
dataset_mnist()
dataset_reuters()
rstudio/keras documentation built on April 22, 2024, 11:43 p.m.
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| dataset_cifar100 | R Documentation |
CIFAR100 small image classification
Description
Dataset of 50,000 32x32 color training images, labeled over 100 categories, and 10,000 test images.
Usage
dataset_cifar100(label_mode = c("fine", "coarse"))
Arguments
label_mode |
one of "fine", "coarse". |
Value
Lists of training and test data: train$x, train$y, test$x, test$y.
The x data is an array of RGB image data with shape (num_samples, 3, 32, 32).
The y data is an array of category labels with shape (num_samples).
See Also
Other datasets:
dataset_boston_housing()
dataset_cifar10()
dataset_fashion_mnist()
dataset_imdb()
dataset_mnist()
dataset_reuters()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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