Edit Social Preview


Upload an image to customize your repository’s social media preview.
Images should be at least 640×320px (1280×640px for best display).

Explaining NonLinear Classification Decisions with Deep Taylor Decomposition

8 Dec 2015 • Grégoire Montavon • Sebastian Bach • Alexander Binder • Wojciech Samek • Klaus-Robert Müller

Nonlinear methods such as Deep Neural Networks (DNNs) are the gold standard for various challenging machine learning problems, e.g., image classification, natural language processing or human action recognition. Although these methods perform impressively well, they have a significant disadvantage, the lack of transparency, limiting the interpretability of the solution and thus the scope of application in practice... (read more)

PDF Abstract

Tasks
Add Remove

Datasets

  Add Datasets introduced or used in this paper

Results from the Paper
Edit

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper
Add Remove

METHOD TYPE
Interpretability
Image Models
Contact us on: hello@paperswithcode.com . Papers With Code is a free resource with all data licensed under CC-BY-SA.
Terms Privacy Cookies policy