Retraining or Continuing Training
If you load your model before the training instructions, then you are continuing to train the same model. Tensorflow will just load the pre-trained weights of your model and continue updating them during the new training session.
Ive started experimenting with tensorflow lately and there is one thing I'm not quite sure i get right:
  If i have a set of training data, train the model  on it for N number of epochs and than use model.save("Multi_stage_test.model") to save the model.
After running the program again with the same training data and with the previously trained model loaded with model=load_model("Multi_stage_test.model"). Am I continuing to train the model (the 1 epoch of the training session is a N+1 epoch for the model) or am I retraining the model (the 1 epoch of the training session is a 1 epoch for the model)?