SimTech EXC 2075 Project Network 6 "Machine learning for simulation"
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Python Source Code - 37.2 KB - MD5: ccad9bb81812ca04db241e7e5dede39f
Python Source Code - 982 B - MD5: c4766457fbdd9bc2e85b1fd9834e1d1d
C++ Source - 14.2 KB - MD5: 7f452cd57fe7d14f084fb15944e0bbdc
Unknown - 8.7 KB - MD5: 7f91c07f850852015328e0417e913962
Python Source Code - 1.1 KB - MD5: 4aac7f964741bae99ba9334cf1034e45
Python Source Code - 30.1 KB - MD5: aace71fb60917dfd7e45c7f6399badbd
PN 6-6(Universität Stuttgart)
Sep 29, 2021
SimTech Project PN 6-6 "Machine Learning for Data-driven Visualization"
Sep 10, 2021 - PN 6-4
Munz, Tanja; Garcia, Rafael; Weiskopf, Daniel, 2021, "Visual Analytics System for Hidden States in Recurrent Neural Networks", https://doi.org/10.18419/DARUS-2052, DaRUS, V1
Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks. This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analysis system. The sub directories contain the following: dataPreparation...
ZIP Archive - 26.7 MB - MD5: 3d4914ce43619dfa073b0828ead09ee5
Source code of our approach.
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