Skip to content

Latest commit

 

History

History
12 lines (7 loc) · 555 Bytes

README.md

File metadata and controls

12 lines (7 loc) · 555 Bytes

nn_visual

For UW's Data Visualization Assignment 3

Using Stochastic Neighbor Embedding (or other non-linear dimensionality reduction) to visualize the structures of artificial neural networks.

While there have been visualizations of the interaction of neural network layers and their response to inputs, the relationship between layers could provide an interesting insight to how a network accomplishes the correct output.

examples

http://www.nytimes.com/interactive/2013/05/25/sunday-review/corporate-taxes.html http://lvdmaaten.github.io/tsne/