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img  CLOSE REVIEW

Week 9: Sequence Models (Part 1)

This review will guide you through an adaptive, research-backed study session. As you answer questions, we will actively assess your current understanding of the material. Questions will continue to be drawn until you have demonstrated mastery of each learning objective.

Reviews are graded based on completion. You will receive full credit for achieving 100% mastery or answering all questions.

Learning objectives for this review:

  • Explain Hidden Markov Models (HMM) and their applications in NLP.
  • Understand Maximum Entropy Markov Models (MEMM) and Long Short-Term Memory (LSTM) networks.