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For questions related to the concept of data augmentation, where a dataset can be augmented in terms of number and diversity of the samples, which can be useful to avoid over-fitting, especially, when the available dataset(s) is relatively small.

1 vote
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Batch normalization for multiple datasets?

I am working on a task of generating synthetic data to help the training of my model. This means that the training is performed on synthetic + real data, and tested on real data. I was told that batch …