Difference between revisions of "Visualization"
| Line 11: | Line 11: | ||
** [http://shixialiu.com/publications/cnnvis/demo/ CNNVis] | ** [http://shixialiu.com/publications/cnnvis/demo/ CNNVis] | ||
** [http://github.com/Prodicode/ann-visualizer ANN Visualizer] | ** [http://github.com/Prodicode/ann-visualizer ANN Visualizer] | ||
| − | * [ | + | * [http://medium.com/civis-analytics/demystifying-black-box-models-with-shap-value-analysis-3e20b536fc80 Demystifying Black-Box Models with SHAP Value Analysis | Peter Cooman] |
* [[(Deep) Convolutional Neural Network (DCNN/CNN)]] | * [[(Deep) Convolutional Neural Network (DCNN/CNN)]] | ||
* [http://www.evolvingai.org/files/mfv_icml_workshop_16.pdf Multifaceted feature visualization: Uncovering the different types of features learned by each neuron in deep neural networks. Visualization for Deep Learning workshop | Nguyen A, Yosinski J, Clune J], 2016 | * [http://www.evolvingai.org/files/mfv_icml_workshop_16.pdf Multifaceted feature visualization: Uncovering the different types of features learned by each neuron in deep neural networks. Visualization for Deep Learning workshop | Nguyen A, Yosinski J, Clune J], 2016 | ||
* [http://www.evolvingai.org/files/2016-VelezClune-SRC.pdf Identifying core functional networks and functional modules within artificial neural networks via subsets regression | Velez R, Clune J], 2016 | * [http://www.evolvingai.org/files/2016-VelezClune-SRC.pdf Identifying core functional networks and functional modules within artificial neural networks via subsets regression | Velez R, Clune J], 2016 | ||
| + | * [[3D Simulation Environments]] | ||
| + | |||
<youtube>ze08gwVPaXk</youtube> | <youtube>ze08gwVPaXk</youtube> | ||
Revision as of 22:43, 1 January 2019
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- Overview of Model Visualization Architecture and Types | XenonStack
- Tools:
- Demystifying Black-Box Models with SHAP Value Analysis | Peter Cooman
- (Deep) Convolutional Neural Network (DCNN/CNN)
- Multifaceted feature visualization: Uncovering the different types of features learned by each neuron in deep neural networks. Visualization for Deep Learning workshop | Nguyen A, Yosinski J, Clune J, 2016
- Identifying core functional networks and functional modules within artificial neural networks via subsets regression | Velez R, Clune J, 2016
- 3D Simulation Environments
