Representation Learning

Representation learning is a subfield of machine learning that involves training algorithms to automatically discover and learn meaningful representations of data, such as images, text, or audio. By enabling machines to understand and interpret complex data, representation learning has become a crucial component in various AI applications, including computer vision, natural language processing, and recommender systems, driving advancements in areas like image recognition, sentiment analysis, and personalized recommendations.