Gitstar Ranking
Users
Organizations
Repositories
Rankings
Users
Organizations
Repositories
Sign in with GitHub
guillaume-chevalier
Fetched on 2024/05/01 00:42
guillaume-chevalier
/
HAR-stacked-residual-bidir-LSTMs
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. -
View it on GitHub
https://arxiv.org/abs/1708.08989
Star
314
Rank
99632