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<p>the previous and current states. Selectively outputting relevant information from the current state allows the LSTM network to maintain useful, long-term dependencies to make predictions, both in current and future time-steps.</p>

<p>LSTM has wide applications in <a href="page.php?w=Classification_in_machine_learning">classification</a>, <a href="page.php?w=data_processing">data processing</a>, <a href="page.php?w=time_series">time series</a> analysis tasks, <a href="page.php?w=speech_recognition">speech recognition</a>,  <a href="page.php?w=machine_translation">machine translation</a>,</p><p>
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