guillaume-chevalier / HAR-stacked-residual-bidir-LSTMsView external linksLinks
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.
☆324Nov 6, 2022Updated 3 years ago
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