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Bptt - Why is GRU better than RNN?


Gated Recurrent Units (GRU) and Long Short-Term Memory (LSTM) units have a distinct advantage over basic Recurrent Neural Networks (RNNs) when dealing with time series data. They are capable of capturing long-term dependencies more effectively than RNNs, which tend to lose information from distant past inputs. This is particularly useful for time series data with long-term trends or cycles, such as meteorological data or financial indicators.