Skip to main content
SHARE
Publication

Visualization for Classification in Deep Neural Networks...

by Junghoon Chae, Shang Gao, Arvind Ramanathan, Chad A Steed, Georgia Tourassi
Publication Type
Conference Paper
Book Title
Workshop on Visual Analytics for Deep Learning
Publication Date
Conference Name
Workshop on Visual Analytics for Deep Learning at IEEE VIS
Conference Location
Phoenix, Arizona, United States of America
Conference Sponsor
IEEE
Conference Date
-

Recently, the techniques based on Deep Neural Networks (DNNs) have achieved a great performance in classification tasks in a wide range of applications, such as image recognition and natural language processing. However, DNN developers face a lot of trial and error during the development process and spend their efforts in debugging their network model through analyzing and understanding the classification results. As such, tools are needed that help the developers not only understand the results, but also suggest the ways to improve their model. In this paper, we propose a visual analytics tool for visualizing the classification results during the iterative development pipeline of a DNN model. Our tool enables exploring the classification results from any type of neural network models, identifying misclassified samples, examining the predicted score distributions of samples, and showing how the outcomes progressively change during the training process.