Recurrent Neural Networks (RNNs) and Sequential Data Questions

Understand RNNs process sequential data by maintaining hidden state across time steps. Know they're used for language translation, voice recognition, and time series prediction. Appreciate limitations (vanishing gradients) and variants (LSTMs, GRUs) that address them. For mid-level, knowing when sequential models apply is more important than implementing them.