Deep learning architectures are advanced neural network models that are designed to handle complex and hierarchical data structures. These architectures have revolutionized the field of artificial intelligence by enabling computers to learn and understand patterns and features directly from raw data. Three popular deep learning architectures are convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs).