NeuralNetTools: Visualization and Analysis Tools for Neural Networks
View Researcher's Other CodesDisclaimer: The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).
Authors | Marcus W. Beck |
Journal/Conference Name | Journal of statistical software |
Paper Category | Other |
Paper Abstract | Supervised neural networks have been applied as a machine learning technique to identify and predict emergent patterns among multiple variables. A common criticism of these methods is the inability to characterize relationships among variables from a fitted model. Although several techniques have been proposed to "illuminate the black box |
Date of publication | 2018 |
Code Programming Language | R |
Comment |