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Introduction to Recurrent Neural Networks: Classic RNN, LSTM, and GRU

  • Classic RNNs struggle to retain information over long sequences due to the vanishing gradient problem.
  • LSTMs are powerful but computationally expensive and require significant memory.
  • GRUs may not perform as well as LSTMs when dealing with extremely long or complex dependencies.
  • Even the best models, like LSTMs, cannot anticipate unexpected events in the stock market.

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