The LRP Toolbox for Artificial Neural Networks
academic journal article
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Summary
The LRP Toolbox for Artificial Neural Networks is an academic journal article[1].
Key Facts
- The LRP Toolbox for Artificial Neural Networks authored Klaus-Robert Müller[2].
- The LRP Toolbox for Artificial Neural Networks authored Wojciech Samek[3].
- The LRP Toolbox for Artificial Neural Networks authored Grégoire Montavon[4].
- The LRP Toolbox for Artificial Neural Networks's instance of is recorded as academic journal article[5].
- The LRP Toolbox for Artificial Neural Networks's page is recorded as 1-5[6].
- The LRP Toolbox for Artificial Neural Networks's software version identifier is recorded as 1.2.0[7].
- The LRP Toolbox for Artificial Neural Networks's software version identifier is recorded as 1.1.0[8].
- The LRP Toolbox for Artificial Neural Networks's software version identifier is recorded as 1.3.0[9].
- The LRP Toolbox for Artificial Neural Networks's software version identifier is recorded as 1.3.1[10].
- The LRP Toolbox for Artificial Neural Networks's language of work or name is recorded as English[11].
- The LRP Toolbox for Artificial Neural Networks's issue is recorded as 114[12].
- The LRP Toolbox for Artificial Neural Networks's volume is recorded as 17[13].
- The LRP Toolbox for Artificial Neural Networks's publication date is recorded as +2016-00-00T00:00:00Z[14].
- The LRP Toolbox for Artificial Neural Networks's main subject is recorded as artificial neural network[15].
- The LRP Toolbox for Artificial Neural Networks's work available at URL is recorded as http://jmlr.org/papers/v17/15-618.html[16].
- The LRP Toolbox for Artificial Neural Networks's source code repository URL is recorded as https://github.com/sebastian-lapuschkin/lrp_toolbox[17].
- The LRP Toolbox for Artificial Neural Networks's published in is recorded as Journal of Machine Learning Research[18].
- The LRP Toolbox for Artificial Neural Networks's title is recorded as The LRP Toolbox for Artificial Neural Networks[19].
- The LRP Toolbox for Artificial Neural Networks's first line is recorded as The Layer-wise Relevance Propagation (LRP) algorithm explains a classifier’s prediction specific to a given data point by attributing relevance scores to important components of the input by using the topology of the learned model itself.[20].
- The LRP Toolbox for Artificial Neural Networks's author name string is recorded as Sebastian Lapuschkin[21].
- The LRP Toolbox for Artificial Neural Networks's author name string is recorded as Alexander Binder[22].
Body
Designation and Status
The LRP Toolbox for Artificial Neural Networks's instance of is recorded as academic journal article[5].