LSTM-Human-Activity-Recognition
Activity recognition
This project aims to recognize human activities using a smartphone's accelerometer and gyroscope data with an LSTM RNN.
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
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Language: Jupyter Notebook
last commit: about 2 years ago
Linked from 3 awesome lists
activity-recognitiondeep-learninghuman-activity-recognitionlstmmachine-learningneural-networkrecurrent-neural-networksrnntensorflow
christoschristofidis/awesome-deep-learning
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