Deep learning uses multilayer neural networks. It underpins modern vision, speech, multimodal systems and large language models.
Important concepts include tensors, embeddings, architectures, training, inference, optimisation, transfer learning and compute requirements. For AI engineers, deep learning matters because model capabilities and constraints shape product design, evaluation cost and deployment choices.
