Multi-output learning and Multi-output CNN models

For the real-world smart systems and applications of today, traditional supervised learning provides quick and precise predictions. It is not, however, evolving to meet the evolving demands of today's sophisticated decision-making. A remedy that can concurrently anticipate several outcomes from a single input is multi-output learning. The corpus of literature in this area has expanded quickly, and a number of publications have been given that give a thorough analysis of the new problems and lear...