Deep learning utilizes a vast variety of neural network architectures to achieve complex tasks. Popular architectures include 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 varies on the speci… Read More