Sealbook / Open source / Machine learning & data science

guillaume-chevalier/LSTM-Human-Activity-Recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

activity-recognitiondeep-learninghuman-activity-recognitionlstmmachine-learningneural-networkrecurrent-neural-networksrnntensorflow

GitHub ↗

License & maintenance

MIT is a permissive license: free to use commercially with attribution.

Last code push 3 years ago.

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