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innsight  

Get the Insights of Your Neural Network
View on CRAN: Click here


Download and install innsight package within the R console
Install from CRAN:
install.packages("innsight")

Install from Github:
library("remotes")
install_github("cran/innsight")

Install by package version:
library("remotes")
install_version("innsight", "0.3.2")



Attach the package and use:
library("innsight")
Maintained by
Niklas Koenen
[Scholar Profile | Author Map]
First Published: 2021-11-22
Latest Update: 2023-04-16
Description:
Interpretation methods for analyzing the behavior and individual predictions of modern neural networks in a three-step procedure: Converting the model, running the interpretation method, and visualizing the results. Implemented methods are, e.g., 'Connection Weights' described by Olden et al. (2004) , layer-wise relevance propagation ('LRP') described by Bach et al. (2015) , deep learning important features ('DeepLIFT') described by Shrikumar et al. (2017) and gradient-based methods like 'SmoothGrad' described by Smilkov et al. (2017) , 'Gradient x Input' described by Baehrens et al. (2009) or 'Vanilla Gradient'.
How to cite:
Niklas Koenen (2021). innsight: Get the Insights of Your Neural Network. R package version 0.3.2, https://cran.r-project.org/web/packages/innsight. Accessed 09 May. 2025.
Previous versions and publish date:
0.1.0 (2021-11-22 10:50), 0.1.1 (2022-08-29 17:10), 0.2.0 (2023-04-16 13:00), 0.3.0 (2023-12-21 17:00), 0.3.1 (2024-11-26 10:50)
Other packages that cited innsight R package
View innsight citation profile
Other R packages that innsight depends, imports, suggests or enhances
Complete documentation for innsight
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