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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

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Owner	guillaume-chevalier
License (as declared)	MIT
Stars	3,487
Forks	930
Main language	Jupyter Notebook
Created	18 May 2016
Last updated at source	6 November 2022

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

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