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GitHub / kumar-shivam-ranjan / Recognizing-human-activity-using-multiple-wearable-accelerometer-sensors

The project in this repository solved the HAR problem by deep neural network specifically long Short term memory (LSTM) of recurrent neural network .

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kumar-shivam-ranjan%2FRecognizing-human-activity-using-multiple-wearable-accelerometer-sensors

Stars: 2
Forks: 1
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 89.8 MB
Dependencies parsed at: Pending

Created at: over 4 years ago
Updated at: over 1 year ago
Pushed at: over 4 years ago
Last synced at: about 2 months ago

Topics: deep, deep-learning, deep-neural-networks, lstm-model, smartphone-sensors

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