Deep learning heavily depends on a vast variety of neural network architectures to achieve complex tasks. Frequent architectures include Convolutional Neural Networks (CNNs) for visual recognition, Recurrent Neural Networks (RNNs) for time-series data processing, and Transformer networks for natural language processing. The decision of architect… Read More