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Lecture 3: RNNs

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  • 00:00 - Introduction
  • 01:34 - Sequence Problems
  • 06:28 - Review of RNNs
  • 22:00 - Vanishing Gradient Issue
  • 27:52 - LSTMs and Its Variants
  • 34:10 - Bidirectionality and Attention from Google's Neural Machine Translation
  • 46:38 - CTC Loss
  • 52:12 - Pros and Cons of Encoder-Decoder LSTM Architectures
  • 54:55 - WaveNet