Recurrent Neural Networks (RNNs) have gained significant popularity in the field of deep learning, particularly in tasks involving sequential data.
RNNs are specifically designed to capture temporal dependencies and handle variable-length sequences. In this article, we will explore the reasons why RNNs are used and their unique advantages in various domains.