What are the limitations of Deep Learning as compared to other Machine Learning techniques?

  • Easier interpretability and requires more data
  • More interpretable and less efficient
  • Requires less data and is more complex
  • Requires more data and is often less interpretable
Deep Learning typically requires more data for effective training and often results in models that are less interpretable compared to traditional Machine Learning models.
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