What Are Embeddings in Deep Learning?

Embeddings are dense numerical representations of complex data — words, images, users, products — that capture semantic meaning in a compact vector. They're the foundational technique behind modern recommendation systems, search engines, and large language models, converting everything into comparable geometry.