smart_augmentation/README.md


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'Smart_aug' is module to make data_augmentation differentiable, thus allowing to learn its parameters, with 'Data_aug' classes.


# Requirements and Installation

* Python version >= 3.5
* PyTorch version >= 1.3
* Higher version >=

# Example Usage

Look to 'test_dataug.py'

![alt text](smart_aug_optim.png "Optim")
Ajout d'un Readme 2020-01-24 15:19:49 -05:00
			`----------------`
			`'Smart_aug' is module to make data_augmentation differentiable, thus allowing to learn its parameters, with 'Data_aug' classes.`


			`# Requirements and Installation`

			`* Python version >= 3.5`
			`* PyTorch version >= 1.3`
			`* Higher version >=`

			`# Example Usage`

Test ajout image Readme 2020-01-27 17:49:20 -05:00			`Look to 'test_dataug.py'`

			`![alt text](smart_aug_optim.png "Optim")`