Training

mathe online bietet eine Galerie multimedialer Lernhilfen für Schule Studium und Selbststudium. mathe online provides a gallery of mathematics multimedia learning tools (in German language).

Eintrag vom: 04.10.2013.

I am really new to Neural Networks and I am training a CNN for image classification and while training I get the following: which tells me the training loss and accuracy and validation loss and accuracy soemone please correct me if i am wrong.

 

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"Katherine went to five training sessions a week before the triathlon" is possible but not "Katherine went to five *trainings a week." (Personally I would just say "Katherine trained five times a week.") Maybe whether or not "training" is a count or non-count noun comes down to semantic distinctions between different types of training.

 

I am new to data deep learning. I am educating myself but I don't understand this situation. Where Validation loss is much much higher than the training loss. Can someone please interpret this?

 

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Clearly over-fitted. The second has an accuracy of 83% on training set and 83% on test set. On the one hand model #1 is over-fitted but on the other hand it still yields better performance on an unseen test set than the good general model in #2. Which model would you choose to use in production? The First or the Second and why?

 

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The word training can mean learning how to do something that has nothing to do with sport so it?s ambiguous in these examples ? none of which is right for the situation you appear to want to describe i.e. attending an organised sporting activity such as football practice weight training tennis lessons tae kwondo cricket nets etc.

 

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