Transfer learning makes deep learning training much less demanding Say an AI engineer wants to create an image classifier neural network to solve a specific problem.

Deep learning algorithms are modeled after the structure and function of the human brain, making use of multiple layers of artificial neurons (hence "deep" learning).

Over the past decade, advancements in machine learning (ML) and deep learning (DL) have revolutionized segmentation accuracy.