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.
How to download and setup HAR-stacked-residual-bidir-LSTMs
Open terminal and run command
git clone https://github.com/guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs.git
git clone is used to create a copy or clone of HAR-stacked-residual-bidir-LSTMs repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with HAR-stacked-residual-bidir-LSTMs https://github.com/guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs/archive/master.zip
Or simply clone HAR-stacked-residual-bidir-LSTMs with SSH
[email protected]:guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs.git
If you have some problems with HAR-stacked-residual-bidir-LSTMs
You may open issue on HAR-stacked-residual-bidir-LSTMs support forum (system) here: https://github.com/guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs/issuesSimilar to HAR-stacked-residual-bidir-LSTMs repositories
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