P53: TensorViz: Visualizing the Training of Convolutional Neural Network Using ParaView
Abstract: Deep 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.
Award: Best Poster Finalist (BP): no
Two-page extended abstract: pdf