Recurrent Neural Networks (RNNs) and Transformers for Sequential Data
Recurrent Neural Networks (RNNs) are designed for tasks that involve sequential data, such as speech recognition, language modeling, and time-series forecasting. Unlike traditional neural networks, RNNs have memory – they retain information from previous inputs to influence current processing.
