Deep Learning Training and Validation Metrics

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Hello,
I'm building a binary deep learning classification architecture using Matlab's Deep Learning Toolbox. Refering to the link:
Where it shows an Image of "Training Progress", MATLAB uses 'Acuracy' as its metrics during training and validation (This metric is not used during training and validation, isn't it? Am I right?). The question would be: Is there a way to initialise the training option (or other parameters) such that it will use a different monitoring metrics such as 'precision', 'recall', 'f1 score' or a custom metric? If yes, is there a way to monitor multiple metrics?

Answers (1)

Divya Gaddipati
Divya Gaddipati on 23 Oct 2019
Hi,
I have heard that this issue is known and the concerned parties may be investigating further.

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R2019b

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