So there’s a difference in inductive and transductive learning.
Inductive Learning - Goes through only the training data during the training phase
Transductive Learning - Goes through training and testing data during the training phase and if a new data point is added to the testing data the training needs to be done again from scratch.
So this difference clearly indicates that transfer learning is a inductive learning. Transfer Learning is simply using a model which was created for a prior task.