Python tips and tricks - 3: Be conservative with image augmentation

Image augmentation may hurt your model accuracy if you're not careful. Always test you augmentation operations first on a smaller dataset and then incrementally verify its accuracy before using it in your final model training.

Link to the file from this video: https://github.com/bnsreenu/python_for_microscopists/blob/master/tips_tricks_3_data_augmentation.ipynb

Link to my GitHub account:
https://github.com/bnsreenu/python_for_microscopists

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