Deep learning utilizes a vast variety of neural network architectures to accomplish complex tasks. Popular architectures feature Convolutional Neural Networks (CNNs) for image recognition, Recurrent Neural Networks (RNNs) for sequential data processing, and Transformer networks for natural language processing. The decision of architecture varies on