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How would you distinguish an RNN from an LSTM in terms of structure and function?

Data ScientistMachine Learning Engineer

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Behavioral
  • What makes LSTMs an advancement over RNNs in certain scenarios?
  • Differentiate between RNN and LSTM.
  • How do RNNs and LSTMs vary when it comes to long-term dependency modeling?
  • How would you distinguish an RNN from an LSTM in terms of structure and function?
  • What are the key differences between RNNs and LSTMs you could point out?
  • Can you explain the contrast between the mechanisms of RNNs and LSTMs?
  • In what ways do RNNs and LSTMs differ, particularly in handling dependencies?
  • How does an LSTM's architecture and capabilities compare to a traditional RNN?
  • What separates LSTMs from RNNs in terms of memory and sequential data processing?
  • Could you describe the difference in application between RNNs and LSTMs?

Interview question asked to Data Scientists and Machine Learning Engineers interviewing at Curve, Wayfair, Squarespace and others: How would you distinguish an RNN from an LSTM in terms of structure and function?.