Recurrent Neural Networks (RNNs) are like regular neural networks, but they are good at understanding things that happen over time. They can look at a sequence of events (like a story), and remember what happened at the beginning when they get to the end. This helps them understand patterns in data. For example, if you give an RNN a story that is 10 sentences long, it can look at the beginning of the story and remember it when it gets to the end.