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