Deep learning relies a vast variety of neural network architectures to achieve complex tasks. Common architectures comprise Convolutional Neural Networks (CNNs) for visual recognition, Recurrent Neural Networks (RNNs) for sequential data processing, and Transformer networks for text comprehension. The choice of architecture relies on the specific a