Efficient, reusable RNNs and LSTMs for torch
Repository Index
73,362 visible repositories in the index
1–2 of 2 · Most stars
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.
- tensorflow
- lstm
- rnn
- stacked-layers