Deep learning relies a vast variety of neural network architectures to accomplish complex tasks. Common architectures feature Convolutional Neural Networks (CNNs) for visual recognition, Recurrent Neural Networks (RNNs) for time-series data processing, and Transformer networks for text comprehension. The selection of architecture varies on the part