International Symposium on Visual Computing

Advances in Visual Computing pp 867-877

An Interactive Node-Link Visualization of Convolutional Neural Networks

Conference paper

DOI: 10.1007/978-3-319-27857-5_77

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9474)
Cite this paper as:
Harley A.W. (2015) An Interactive Node-Link Visualization of Convolutional Neural Networks. In: Bebis G. et al. (eds) Advances in Visual Computing. Lecture Notes in Computer Science, vol 9474. Springer, Cham

Abstract

Convolutional neural networks are at the core of state-of-the-art approaches to a variety of computer vision tasks. Visualizations of neural networks typically take the form of static diagrams, or interactive toy-sized networks, which fail to illustrate the networks’ scale and complexity, and furthermore do not enable meaningful experimentation. Motivated by this observation, this paper presents a new interactive visualization of neural networks trained on handwritten digit recognition, with the intent of showing the actual behavior of the network given user-provided input. The user can interact with the network through a drawing pad, and watch the activation patterns of the network respond in real-time. The visualization is available at http://scs.ryerson.ca/~aharley/vis/.

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Computer ScienceRyerson UniversityTorontoCanada

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