Abstract:Deep neural networks (DNNs) have been widely applied in various domains in artificial intelligence including computer vision and natural language processing.
A DNN is typically trained for many epochs and then a validation dataset is used to select the DNN in an epoch (we simply call this epoch ``the last epoch") as the final model for making predictions on unseen samples, while it usually cannot achieve a perfect accuracy on unseen samples. An interesting question is ``how many test (unseen) samples that a D… Show more
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