Deep Learning Training and Validation Metrics
2 次查看(过去 30 天)
显示 更早的评论
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?
0 个评论
回答(1 个)
Divya Gaddipati
2019-10-23
Hi,
I have heard that this issue is known and the concerned parties may be investigating further.
0 个评论
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!