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What is the difference between LSTMs and GSEs?
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LSTMs and GSEs are both recurrent neural networks. They are both used to model sequences of data. However, they are different in many ways. First, they use different activation functions, which determine how the network should behave. Second, LSTMs have a memory cell that stores the previous state of the network, whereas GSEs do not. This means that LSTMs can remember more information than GSEs.