sevakon / shallow-rnns

This repository is a PyTorch implementation of NIPS 2019 Paper "Shallow RNNs: A Method for Accurate Time-series Classification on Tiny Devices"

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Shallow RNNs: A Method for Accurate Time-series Classification on Tiny Devices

This repository is a PyTorch implementation of the paper "Shallow RNNs: A Method for Accurate Time-series Classification on Tiny Devices" (NIPS, 2019)

References

  • [1] Dennis et al. Shallow RNNs: A Method for Accurate Time-series Classification on Tiny Devices
  • [2] Chan et al. Listen, Attend and Spell
  • [3] Janna Escur i Gelabert. Exploring Automatic Speech Recognition with TensorFlow

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This repository is a PyTorch implementation of NIPS 2019 Paper "Shallow RNNs: A Method for Accurate Time-series Classification on Tiny Devices"

License:Apache License 2.0


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