Recurrent Neural Networks (RNNs) are used for processing sequential or time-series data by maintaining a hidden states that captures memory of past inputs within a sequence.

They have a feedback loop, meaning each output depends on the previous inputs — making them ideal for tasks like sentiment analysis or speech recognition.

However, RNNs face...