P53: TensorViz: Visualizing the Training of Convolutional
Neural Network Using ParaView
SessionPoster Reception
Event Type
ACM Student Research Competition
Poster
Reception
TimeTuesday, November 14th5:15pm -
7pm
LocationFour Seasons Ballroom
DescriptionDeep Convolutional Networks have been very successful
in visual recognition tasks recently. Previous works
visualize learned features at different layers to help
people understand how CNNs learn visual recognition
tasks. However, they do not help to accelerate the
training process. We use ParaView to provides both
qualitative and quantitative visualization that help
understand the learning procedure, tune the learning
parameters, and direct merging and pruning of neural
networks.
