Deep learning utilizes a vast variety of neural network architectures to perform complex tasks. Common architectures include 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 depends on the p… Read More