An Interactive Node-Link Visualization of Convolutional Neural Networks
- 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
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/.