It’s my first experience with ML, and at that moment I created a convolution neural network on pytorch using the pretraining model VGG16 and added my own extra layer to define belonging to one  classes. In my case, bee or not.
The model works well. Now I want to train the saved model, so that she determines the amount of identical objects (bees) on the  photo.
But I could not find documentation on how to do such things. For this are used CNN or other methods? If it is not difficult to describe the approximate steps, or give links to examples I will be grateful.