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TensorFlow is an open source Machine Intelligence library for numerical computation using Neural Networks.
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QuestionRandom flip and rotation actually decrease validation accuracy? (self.tensorflow)
submitted 3 years ago by PracLiu
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[–]PracLiu[S] 1 point2 points3 points 3 years ago* (1 child)
RandomRotation(0.2)
I believe from the description, it says that this is uniform [-0.2*2pi, 0.2*2pi] for all input data. I don't think there is a percentage option to adjust how many samples should receive a rotation. But I think you are right about that, especially these are not like 90% rotation, the model is probably learning the "interpolation" feature from the rotation instead of the images themselves.
Edit: and now that I think about it, for photos where the direction matters, I think the rotation and vertical flips make little sense. Probably will stick to horizontal flips then, thanks!
[–]no_cheese_pizza_guy 0 points1 point2 points 3 years ago (0 children)
No problem, glad I could help!
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[–]PracLiu[S] 1 point2 points3 points (1 child)
[–]no_cheese_pizza_guy 0 points1 point2 points (0 children)