HAR-stacked-residual-bidir-LSTMs
https://github.com/guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs
Python319
2 years ago
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Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
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License
Apache License 2.0
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
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