Recursive Neural Network - a type of neural network.
RNNs are excellent for processing sequences due to their feedback loop.
This loop passes information from one network step to the next, allowing RNNs to remember previous steps. This memory capability enables them to consider context when processing new data. RNNs can remember, for example, that a previous sentence ended with a question and adjust the generated text accordingly.
RNNs are great for generating text, poetry, and even composing music pieces. They
However, a challenge with RNNs is their difficulty in retaining information for a long term. When a data sequence is too long, RNNs start to forget the initial segments. This is something to consider when working with extensive data sequences.