guillaume-chevalier/
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...
by Guillaume Chevalier Python Apache-2.0 licence 96 forks Created Nov 2016 View on GitHub
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