CINIC-10-TFLoader/README.md

# CINIC-10-TFLoader

This repository contains a data loader of "[CINIC-10] (https://github.com/BayesWatch/cinic-10)" dataset for TensorFlow. A training case using TFLearn is given in `residual_network_cinic10.py`.

CINIC-10 data can be loaded with the line below:
```
XTrain, YTrain, XVal, YVal, XTest, YTest = cinic10.loadData("/path/to/dataset/folder", oneHot=True)
```

This code returns 6 numpy arrays respectively: Training set images, training set labels, validation set images, validation set labels, testing set images, testing set labels.

You can check `residual_network_cinic10.py` file for an example.


## License
The source code is licensed under [MIT License](./LICENSE).
Create README.md 6 years ago			`# CINIC-10-TFLoader`
Update README.md 6 years ago
			This repository contains a data loader of "[CINIC-10] (https://github.com/BayesWatch/cinic-10)" dataset for TensorFlow. A training case using TFLearn is given in `residual_network_cinic10.py`.

			`CINIC-10 data can be loaded with the line below:`
			```
			`XTrain, YTrain, XVal, YVal, XTest, YTest = cinic10.loadData("/path/to/dataset/folder", oneHot=True)`
			```

			`This code returns 6 numpy arrays respectively: Training set images, training set labels, validation set images, validation set labels, testing set images, testing set labels.`

			You can check `residual_network_cinic10.py` file for an example.


			`## License`
			`The source code is licensed under [MIT License](./LICENSE).`