Deep learning heavily depends on a vast variety of neural network architectures to accomplish complex tasks. Frequent architectures include Convolutional Neural Networks (CNNs) for visual recognition, Recurrent Neural Networks (RNNs) for sequential more info data processing, and Transformer networks for text comprehension. The choice of architectur