Back to Home
DL
(Deep Learning)
DL, or Deep Learning, is a subset of Machine Learning that uses artificial neural networks to model complex patterns in data. It is inspired by the structure and function of the human brain and is capable of learning from large amounts of unstructured data.
Deep Learning is used in applications like image and speech recognition, natural language processing (NLP), and autonomous vehicles. It powers technologies like virtual assistants, recommendation systems, and medical diagnostics. With the availability of frameworks like TensorFlow and PyTorch, Deep Learning has become more accessible, driving innovation across industries and transforming the way we interact with technology.
Deep Learning is used in applications like image and speech recognition, natural language processing (NLP), and autonomous vehicles. It powers technologies like virtual assistants, recommendation systems, and medical diagnostics. With the availability of frameworks like TensorFlow and PyTorch, Deep Learning has become more accessible, driving innovation across industries and transforming the way we interact with technology.