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a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.
3
votes
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 …