Deep network designer - pretrained network

I have been working on a image classification problem, I trained resnet50 and GoogleNet using the input data. Can anyone help me on how to derive the results (F1, recall, accuracy and ROC). I would be really grateful.

Answer 1

[Raynier Suresh]

For Accuracy:

accuracy = mean(YPred == YValidation)

Refer the below link for more information

https://www.mathworks.com/help/deeplearning/ref/alexnet.html

For Roc:

refer the below links

https://www.mathworks.com/help/deeplearning/ref/roc.html

https://www.mathworks.com/help/deeplearning/ref/plotroc.html

For Precision, Recall and F1 Score:

From the confusion matrix you can calculate precision and recall. Using Precision and Recall you can calculate the F1 score.

Refer the below links for confusion matrix

https://www.mathworks.com/help/deeplearning/ref/plotconfusion.html