Transfer learning is when a machine learning system that has been trained on one kind of data, can also be modified or easily retrained to operate on other kinds of data. For example, a deep neural network trained on English text may learn deep grammatical patrerns as well as the precise words, and so be able to be modified, with less re-training, to operate on other Germanic languages. Similarly, game playing systems may be abe to quickly pick up similar games as they have learnt aspects of deep strategy.
Used on pages 465, 468