What are some popular deep learning architectures, and how do they differ in terms of their structure and applications?

Deep learning is a subset of machine learning that involves training artificial neural networks to learn and make predictions from complex data. There are several popular deep learning architectures that are commonly used in various applications. Here are some of the most widely used ones: 1. Convolutional Neural Networks (CNNs): CNNs are widely used for image and video recognition tasks. They are designed to recognize spatial patterns in data, such as shapes and colors, by applying a series of convolutional filters to the input data. This makes them particularly useful for image and video analysis, as they can recognize complex visual patterns. 2. Recurrent Neural Networks (RNNs): RNNs....