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Recurrent Neural Networks - Full Stack Deep Learning - Spring 2021

Recurrent Neural Networks - Full Stack Deep Learning - Spring 2021

The Full Stack via YouTube Direct link

- LSTMs and Its Variants

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- LSTMs and Its Variants

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Recurrent Neural Networks - Full Stack Deep Learning - Spring 2021

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  1. 1 - Introduction
  2. 2 - Sequence Problems
  3. 3 - Review of RNNs
  4. 4 - Vanishing Gradient Issue
  5. 5 - LSTMs and Its Variants
  6. 6 - Bidirectionality and Attention from Google's Neural Machine Translation
  7. 7 - CTC Loss
  8. 8 - Pros and Cons of Encoder-Decoder LSTM Architectures
  9. 9 - WaveNet

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