Kaggle-Carvana-Image-Masking-Challenge
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Add hue-saturation-value data augmentation, converge slower?
I find add hue-saturation-value data augmentation, SGD converge becomes slower?
You can experiment with different kinds and amount of augmentations to find the best spot between convergence and avoiding overfitting. You can use the u
parameter of an augmentation function to control how often it's applied.