Statements (57)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Database_Management_System
|
| gptkbp:bfsLayer |
7
|
| gptkbp:bfsParent |
gptkb:Pixel_CNN++
gptkb:CIFAR-100_dataset |
| gptkbp:collection_size |
10,000 images
|
| gptkbp:contains |
60,000 images
|
| gptkbp:created_by |
gptkb:Alex_Krizhevsky
|
| gptkbp:format |
gptkb:Library
gptkb:color RGB binary natural images |
| gptkbp:has_content |
gptkb:Kaggle
gptkb:Tensor_Flow_Datasets Py Torch Datasets |
| https://www.w3.org/2000/01/rdf-schema#label |
CIFAR-10 dataset
|
| gptkbp:is_analyzed_in |
image recognition
unsupervised learning object detection transfer learning convolutional neural networks semi-supervised learning |
| gptkbp:is_available_on |
https://www.cs.toronto.edu/~kriz/cifar.html
|
| gptkbp:is_divided_into |
cross-validation
holdout method random sampling k-fold cross-validation validation set training and testing stratified sampling leave-one-out cross-validation 10 classes bootstrapping nested cross-validation stratified k-fold cross-validation time series split train-validation-test split |
| gptkbp:is_evaluated_by |
accuracy
|
| gptkbp:is_popular_in |
gptkb:software_framework
computer vision |
| gptkbp:is_used_for |
image classification
|
| gptkbp:label |
gptkb:bird
gptkb:horse_race gptkb:aircraft gptkb:automobile gptkb:dog_breed gptkb:mythological_figure gptkb:starship |
| gptkbp:performance |
reinforcement learning
deep learning models autoencoders GA Ns |
| gptkbp:release_year |
gptkb:2009
|
| gptkbp:requires |
data augmentation
normalization |
| gptkbp:resolution |
32x32 pixels
|
| gptkbp:training |
50,000 images
|