Strobelt, H., Gehrmann, S., Pfister, H., & Rush, A. M. (2018). LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks. IEEE transactions on visualization and computer graphics, 24(1), 667-676. https://doi.org/10.1109/TVCG.2017.2744158
Chicago Style (17th ed.) CitationStrobelt, Hendrik, Sebastian Gehrmann, Hanspeter Pfister, and Alexander M. Rush. "LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks." IEEE Transactions on Visualization and Computer Graphics 24, no. 1 (2018): 667-676. https://doi.org/10.1109/TVCG.2017.2744158.
MLA (9th ed.) CitationStrobelt, Hendrik, et al. "LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks." IEEE Transactions on Visualization and Computer Graphics, vol. 24, no. 1, 2018, pp. 667-676, https://doi.org/10.1109/TVCG.2017.2744158.