Fig 6 - available via license: Creative Commons Attribution 4.0 International
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Time at max (t max ) for pairwise classifications. Both NLP and gesture tasks show an increase in the proportion of time at which maximum performance is observed. Indicative of information gain, this rises in both -suggesting the LSTM comes to better integrate the full test items for its performance. However this is much more orderly in the NLP task than the gesture task.
Source publication
There is an important challenge in systematically interpreting the internal representations of deep neural networks. This study introduces a multi-dimensional quantification and visualization approach which can capture two temporal dimensions of a model learning experience: the "information processing trajectory" and the "developmental trajectory."...
