A specialized subset of machine learning that involves neural networks with three or more layers. These multi-layered neural networks are designed to learn from vast amounts of data, gradually improving their ability to recognize patterns, make predictions, and solve problems. While a single-layer neural network can make basic predictions, the addition of multiple hidden layers allows for more complex, nuanced learning and processing. This depth enables the network to refine its accuracy significantly, capturing and modeling the intricacies within the data. Deep Learning has revolutionized fields such as image recognition, natural language processing, and autonomous vehicle navigation by providing a framework for machines to learn and make decisions with a degree of sophistication and precision that approaches human-like understanding.
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