CMU Advanced NLP: Recurrent Neural Networks

CMU Advanced NLP: Recurrent Neural Networks

Graham Neubig via YouTube Direct link

Intro

1 of 14

1 of 14

Intro

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Classroom Contents

CMU Advanced NLP: Recurrent Neural Networks

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  1. 1 Intro
  2. 2 Long Distance Dependencies
  3. 3 Winigrad Schema Challenge
  4. 4 Types of Prediction
  5. 5 Unconditioned vs Condition Prediction
  6. 6 Types of Unconditioned Prediction
  7. 7 Types of Condition Prediction
  8. 8 Recurrent Neural Networks
  9. 9 Vanishing Gradients
  10. 10 LTSM
  11. 11 RNNs
  12. 12 Other examples
  13. 13 Efficiency
  14. 14 Optimization

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