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guillaume-chevalier
HAR-stacked-residual-bidir-LSTMs guillaume-chevalier
100
319
apache-2.0
19
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 differen...
rnn lstm tensorflow stacked-layers residual-layers residual-lstm-cells bidirectional-lstm-cells human-activity-recognition
Created 2016-11-26
67 commits to master branch, last one 2 years ago