Deep Learning is a subset of machine learning that uses neural networks with many layers (hence “deep”) to model and understand complex patterns in data. It enables computers to perform tasks such as image recognition, natural language processing, and speech recognition by automatically learning features from raw data.
Characteristics
– Utilizes multi-layered neural networks called deep neural networks
– Capable of automatic feature extraction without manual intervention
– Requires large amounts of data and significant computational power
– Excels in handling unstructured data like images, audio, and text
– Improves performance as more data is fed into the system
Examples
– Image classification systems that identify objects in photos
– Voice assistants that understand and respond to spoken commands
– Language translation services that convert text between languages
– Autonomous vehicles that interpret sensor data to navigate safely
