{"ref":"master","ref_type":"branch","master_branch":"master","description":"Applying Recurrent Neural Network ( RNN ) with multiple LSTM layers on a dataset which contains data collected by accelerometer and gyroscope sensors of mobile phone in order to classify the human activity into six different classes . Six different classes are - walking , sitting , standing , laying , walking upstairs and walking downstairs .","pusher_type":"user"}
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