Algorithms that learn to solve tasks by watching 1 Youtube video by Samiran & Shibsankar #ODSC_India

Two branches of AI - Deep Learning, and Reinforcement Learning are now responsible for many real-world applications. Machine Translation, Speech Recognition, Object Detection, Robot Control, and Drug Discovery - are some of the numerous examples. Both approaches are data hungry - DL requires many examples of each class, and RL needs to play through many episodes to learn a policy. A small child can typically see an image just once, and instantly recognize it in other contexts and environments. We seem to possess an innate model/representation of how the world works, which helps us grasp new concepts and adapt to new situations fast. Humans are excellent one/few shot learners.