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 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?

 

"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 have heard of the terms "training" and "test error" in the context of classification quite often but I am not sure I know what they mean. This article writes:

 

As such one of the differences between validation loss (val_loss) and training loss (loss) is that when using dropout validation loss can be lower than training loss (usually not expected in cases where dropout is not used).

 

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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.

 

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.