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This folder contains a program that resizes CIFAR-10 and CIFAR-100 images to 64x64 and 128x128 pixels.

## Original Work
The [CIFAR-10 Dataset](https://www.cs.toronto.edu/~kriz/cifar.html) is a fantastic contribution to computer science made by the original authors.
The [CIFAR-10 Dataset](https://www.cs.toronto.edu/~kriz/cifar.html) is a fantastic [contribution](https://paperswithcode.com/dataset/cifar-10) to computer science made by the original authors.
Please refer to https://www.cs.toronto.edu/~kriz/cifar.html and to [Learning Multiple Layers of Features from Tiny Images, Alex Krizhevsky, 2009](https://www.cs.toronto.edu/~kriz/learning-features-2009-TR.pdf) for the original work.

## Resizing Images
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* https://www.kaggle.com/joaopauloschuler/cifar10-64x64-resized-via-cai-super-resolution
* https://www.kaggle.com/joaopauloschuler/cifar10-128x128-resized-via-cai-super-resolution
* https://www.kaggle.com/joaopauloschuler/cifar100-128x128-resized-via-cai-super-resolution

## Citing this Work
You can cite this work in BibTeX format with:
```
@software{cai_neural_api_2021_5810077,
author = {Joao Paulo Schwarz Schuler},
title = {CAI NEURAL API},
month = dec,
year = 2021,
publisher = {Zenodo},
version = {v1.0.6},
doi = {10.5281/zenodo.5810077},
url = {https://doi.org/10.5281/zenodo.5810077}
}

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