HAR-stacked-residual-bidir-LSTMs
PublicUsing 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.
bidirectional-lstm-cellshuman-activity-recognitionlstmresidual-layersresidual-lstm-cellsrnnstacked-layerstensorflow
Creat：2016-11-26T22:41:46
Update：2025-03-24T15:05:41
https://arxiv.org/abs/1708.08989
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