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

Data ScientistMachine Learning Engineer

Uber

eToro

Etsy

Wise

AppDynamics

Bosch

Did you come across this question in an interview?

  • 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?
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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?.