Rnns

Recurrent Neural Networks (RNNs) are a type of artificial neural network designed to recognize patterns in sequential data, such as speech, text, or time series data. As a fundamental component of deep learning, RNNs are crucial in research applications like natural language processing, speech recognition, and predictive modeling, enabling machines to learn from and make predictions on complex sequential data, and driving advancements in AI and machine learning.