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00_emi_lstm_example.ipynb
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README.md
fetch_har.py
helpermethods.py
process_har.py

README.md

Tensorflow EMI-RNN Examples

This directory includes example notebooks EMI-RNN developed as part of EdgeML. The example is based on the UCI Human Activity Recognition dataset.

Please refer to tf/docs/EMI-RNN.md for detailed documentation of EMI-RNN.

Please refer to 00_emi_lstm_example.ipynb for a quick and dirty getting started guide.

Note that, EMI-RNN currently natively supports the following cells:

  • LSTM
  • GRU
  • FastGRNN
  • FastRNN
  • UGRNN

Tested With: Tensorflow >1.6 with Python 3

Fetching Data

The script - fetch_har.py, can be used to automatically download and process_har.py can be used to processes the dataset. To run this script, please use

python fetch_har.py
python process_har.py

If bash is not available, you will have to manually download the data files. Instructions can be found in fetch_har.py.

Copyright (c) Microsoft Corporation. All rights reserved. Licensed under the MIT license.