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brianspiering/week_3_prompts.md

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Week 3 Prompts
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week_3_prompts.md

Review Prompts

  1. Word Embeddings
  • Why are word embeddings useful?
  • What are the inputs?
  • What are the outputs?
  1. Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), Long Short Term Memory (LSTM)
  • What type of patterns are these models best at learning?
  • What is the most important part of the architecture for these models?

Discussion Prompts

  1. What are the limitations of word embeddings?
  2. When would you not use a RNN?
  3. Bonus: Why are Transformers more popular right now than RNN, GRU, LSTM?
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