What distinguishes Deep Learning from traditional Machine Learning?

💡 Explanation:

Deep Learning is a specialized sub-field of Machine Learning (ML) that is structurally defined by its use of Artificial Neural Networks (ANNs) containing multiple ('deep') hidden layers. This multi-layered architecture enables the system to learn hierarchical feature representations automatically, distinguishing it from traditional, 'shallower' ML algorithms.