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Results tagged with transfer-learning
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user 95020
Transfer learning is the process of learning a set of characteristics from one data and applying this "knowledge" to another similar dataset (i.e. using the same model across datasets).
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Over fitting in Transfer Learning with small dataset
I implemented various architectures for transfer learning and observed that models containing BatchNorm layers (e.g. Inception, ResNet, MobileNet) perform a lot worse (~30 % compared to >95 % test acc …
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