MATLAB: How to get percentage of training loss deep learningneural networks The validation accuracy was shown at the right, but how can I get the loss accuracy in percentage? Thank you for solving my problem. Best Answer While using the trainNetwork function, mention the info output argumetn along with the net as follows:[net,info] = trainNetwork(___)Training information, returned as a structure info , where each field is a scalar or a numeric vector with one element per training iteration.For classification problems, info contains the following fields:TrainingLoss — Loss function valuesTrainingAccuracy — Training accuraciesValidationLoss — Loss function valuesValidationAccuracy — Validation accuraciesBaseLearnRate — Learning ratesFinalValidationLoss — Final validation lossFinalValidationAccuracy — Final validation accuracyFor regression problems, info contains the following fields:TrainingLoss — Loss function valuesTrainingRMSE — Training RMSE valuesValidationLoss — Loss function valuesValidationRMSE — Validation RMSE valuesBaseLearnRate — Learning ratesFinalValidationLoss — Final validation lossFinalValidationRMSE — Final validation RMSERefer to documentation of trainNetwork. Related SolutionsMATLAB: How to extract metrics/data of the LSTM training progress Hi,You can use [net,info] = trainNetwork(XTrain,YTrain,layers,options);while training a network, to access 'info' struct. This struct contains information such as 'TrainingLoss', 'TrainingRMSE' and 'BaseLearnRate' for each iteration of training. You can refer to the documentation for more information. MATLAB: (deep learning)how to get probability output of softmax in this code self answering : use predict(net, X) Related QuestionMonitor Deep Learning Training ProgressHow to plot training loss for Covolutional Neural Nets
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