*3.9. Classification*

The output of our model is a multilabel classification vector. Each of the neurons in the final dense layer of the models interact with the classes of the dataset and provide a decimal value (ranging from 0 to 1) which is then rounded for each class. The number of classes defines the number of fully connected neurons in the final dense layer.
