silent email failure
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backup without site breakage
My model gives great accuracy on my laptop.When deployed on a server, predictions become inconsistent.The same input sometimes produces different outputs.Nothing crashes, but the behavior is unreliable.
Training loss decreases smoothly.Validation loss fluctuates.Regularization is enabled.Still, generalization is poor.
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.
non scaled autoscaler
