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girishp92 / Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-Smartphones

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This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep networ…

machine-learning deep-learning proof-of-concept scikit-learn android-application python3 pickle rnn-tensorflow androidstudio lstm-neural-networks pycharm-ide human-activities hidden-units smartphone-accelerometer
  • Updated Sep 25, 2017
  • Python

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