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.
