Recurrent Neural Networks
Recurrent Neural Networks are a type of artificial neural network designed to recognize patterns in sequences of data, making them well-suited for tasks such as speech recognition, language translation, and time series prediction. Unlike traditional feedforward neural networks, recurrent neural networks have connections that form loops, allowing information to persist and be passed from one time step to the next. This enables them to capture dependencies and relationships within sequential data, making them powerful tools for modeling and understanding time-dependent processes.