Deployment failure
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Training loss decreases smoothly.Validation loss fluctuates.Regularization is enabled.Still, generalization is poor.
Permission sets were initially simple, but over time they’ve multiplied. Users now have multiple overlapping permissions, and access issues are common. I want to understand why permission management degrades.
Initially, our sharing model was straightforward and easy to explain. As more roles, teams, and exceptions were added, it became difficult to predict who can see what. Even admins struggle to explain access behavior now. I want to understand why ...
The model classifies upright images correctly.Rotated versions of the same images fail.The content is the same.Only orientation changed.
My CNN reaches over 95% accuracy on the training set.But on the test set it drops below 40%.The data comes from the same source.I feel the model is memorizing instead of learning.
