This document provides an overview of recurrent neural networks (RNNs) and some of their applications. It discusses the basic structure of RNNs and how they can be used for tasks like sequence prediction and language modeling. It also introduces more advanced RNN architectures like LSTMs, GRUs, and encoder-decoder models that address some limitations of traditional RNNs. Examples of applications d
