Since a video is just a sequence of images, RNNs are used to recognize actions (like "running" vs. "walking") by tracking movement over time. The Shift to Transformers

In finance and meteorology, RNNs analyze historical trends (stock prices or weather patterns) to predict future fluctuations.

However, basic RNNs suffer from the "vanishing gradient problem," where information from earlier steps fades away during training. This led to the design of more sophisticated cells: