Transfer Learning: According to the first edition of the EU-U.S. terminology and taxonomy for artificial intelligence, the word “Transfer Learning” means a technique in machine learning in which an algorithm learns to perform one task, such as recognizing cars, and builds on that knowledge when learning a different but related task, such as recognizing cats.
