dataset_cifar10: CIFAR10 small image classification
In rstudio/keras: R Interface to 'Keras'
dataset_cifar10 R Documentation
CIFAR10 small image classification
Description
Dataset of 50,000 32x32 color training images, labeled over 10 categories,
and 10,000 test images.
Usage
dataset_cifar10()
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 (integers in range 0-9) with
shape (num_samples).
See Also
Other datasets:
dataset_boston_housing()
dataset_cifar100()
dataset_fashion_mnist()
dataset_imdb()
dataset_mnist()
dataset_reuters()
rstudio/keras documentation built on July 8, 2024, 3:07 p.m.
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| dataset_cifar10 | R Documentation |
CIFAR10 small image classification
Description
Dataset of 50,000 32x32 color training images, labeled over 10 categories, and 10,000 test images.
Usage
dataset_cifar10()
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 (integers in range 0-9) with
shape (num_samples).
See Also
Other datasets:
dataset_boston_housing()
dataset_cifar100()
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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