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Deep stacked residual bidirectional LSTMs for HAR

github.comtool

Improvements on the previous project.

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2026-10-10
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  1. Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation arxiv.org

    In 2016: stacked residual LSTMs with attention mechanisms on encoder/decoder are the best for NMT (Neural Machine Translation).

  2. Deep Learning Roadmap github.com
  3. deeplearn-rs github.com
  4. HLearn github.com
  5. Deep Learning Implementation Tutorials - Keras and Lasagne github.com
  6. LSTM for Kaggle EEG Detection competition (Torch Code) github.com

Education › Practical Resources > Librairies and Implementations: “Improvements on the previous project.”