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Generalizing Your Model: An Example With EfficientNetV2 and Cats & Dogs
May 19, 2022, 3:41 a.m. | Daniel Reiff
Towards Data Science - Medium towardsdatascience.com
Consider this scenario. You are using the new fancy state-of-the-art CNN network architecture, EfficientNetV2, to train an image classifier. You’ve achieved impressive training accuracy (> 95%) but the model is not learning evaluation samples nearly as well as training samples.
As machine learning engineers, we understand that our models are only as good as they perform on unseen data. Which begs the question:
How can we increase the performance of our networks on unseen data?
When our …
algorithms artificial intelligence cats computer vision dogs example machine learning overfitting
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