%0 Journal Article %J IEEE Transactions on Visualization and Computer Graphics %D 2018 %T LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks %A H. Strobelt %A S. Gehrmann %A H. Pfister %A A. M. Rush %K black-box hidden representation %K chord progressions %K Computational modeling %K Data models %K data visualisation %K hidden state dynamics %K hidden state representations %K learning (artificial intelligence) %K local state changes %K long-term usage data %K LSTM %K LSTMVis %K machine learning %K machine learning community %K nesting %K Pattern matching %K phrase structure %K recurrent neural nets %K recurrent neural networks %K remarkably effective tool %K short-term memory networks %K specific hidden state properties %K statistical analysis %K Tools %K visual analysis tool %K Visualization %B IEEE Transactions on Visualization and Computer Graphics %V 24 %P 667-676 %8 Jan %G eng %N 1 %R 10.1109/TVCG.2017.2744158