Deep learning heavily depends on a vast variety of neural network architectures to perform complex tasks. Common architectures include Convolutional Neural Networks (CNNs) for pattern recognition, Recurrent Neural Networks (RNNs) for ordered data processing, and Transformer networks for natural language processing. The choice of architecture relies