Neural Networks Architectures
Neural Networks Architectures refer to the various structures and configurations of interconnected artificial neurons within a neural network. These architectures determine how data is processed and information is propagated throughout the network. Some common types of neural network architectures include feedforward neural networks, recurrent neural networks, convolutional neural networks, and deep neural networks. Each architecture has its own unique characteristics and is suited for different types of tasks, such as image recognition, natural language processing, and time series forecasting.