Deep Learning is a subfield of artificial intelligence (AI) and machine learning that focuses on algorithms and techniques inspired by the structure and function of the human brain, specifically neural networks. These algorithms are designed to learn and recognize patterns from large and complex datasets, enabling computers to perform tasks that typically require human-like understanding and decision-making abilities.
Deep learning utilizes artificial neural networks, which are composed of multiple layers of interconnected nodes or neurons. These networks are capable of learning hierarchical feature representations from raw data, with each layer learning to extract and combine features from the previous layer.
Some common applications of deep learning include image and speech recognition, natural language processing, recommendation systems, game playing, medical diagnosis, and self-driving cars. The ability of deep learning algorithms to analyze and classify massive amounts of data has led to significant advancements in various fields, making it an essential component of modern AI research and development.
