I'm trying to use VGG16 for ** 5 classes data set**. I've already added 5 new layers to adjust the output for logit as 5. model = models.vgg16(pretrained=True)
I want to calculate the F1 score of my models. But I receive a warning and get a 0.0 F1-score and I don't know what to do. here is the source code: def model_
I have a multiclass problem where an image can be one of three classes (Masked, UnMasked, Hybrid). I am using image_dataset_from_directory from keras preprocess