English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Machine learning algorithms using deep architectures have been able toimplement increasingly powerful and successful models. However, they alsobecome increasingly more complex, more difficult to comprehend and easier tofool. So far, most methods in the literature investigate the decision of themodel for a single given input datum. In this paper, we propose to visualize apart of the decision function of a deep neural network together with a part ofthe data set in two dimensions with discriminative dimensionality reduction.This enables us to inspect how different properties of the data are treated bythe model, such as outliers, adversaries or poisoned data. Further, thepresented approach is complementary to the mentioned interpretation methodsfrom the literature and hence might be even more useful in combination withthose. Code is available at https://github.com/LucaHermes/DeepView .

DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction