Recurrent Neural Networks (RNNs)
Recurrent Neural Networks (RNNs) are designed to handle sequences of data, making them ideal for simulating time-dependent processes. RNNs have loops that allow information to persist, making them particularly suited for tasks that involve temporal dynamics or memory (i.e., simulating processes where past events influence future events).
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