2 papers
cs.LG2019
RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks
Dylan Cashman, Genevieve Patterson, Abigail Mosca +3
We present RNNbow, an interactive tool for visualizing the gradient flow during backpropagation training in recurrent neural networks. RNNbow is a web application that displays the…
cs.HC2018
At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity
Gabriel Ryan, Abigail Mosca, Remco Chang +1
When inspecting information visualizations under time critical settings, such as emergency response or monitoring the heart rate in a surgery room, the user only has a small amount…