Deep neural networks is a fundamental concept and methodological approach within artificial intelligence, pertaining to artificial neural networks characterized by multiple hidden layers. This architecture enables the learning of complex, hierarchical data representations, forming the basis of a significant research field focused on their design, training, and application to challenging pattern recognition and prediction tasks.