Difference between revisions of "Visualization"
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* [http://www.xenonstack.com/insights/what-is-model-visualization/ Overview of Model Visualization Architecture and Types | XenonStack] | * [http://www.xenonstack.com/insights/what-is-model-visualization/ Overview of Model Visualization Architecture and Types | XenonStack] | ||
| − | * Tools | + | * Tools: |
** [[TensorBoard]] | ** [[TensorBoard]] | ||
** [http://visualdl.paddlepaddle.org/ Visual DL] | ** [http://visualdl.paddlepaddle.org/ Visual DL] | ||
** [http://pypi.org/project/netron/ Netron] | ** [http://pypi.org/project/netron/ Netron] | ||
** [http://www.scikit-yb.org/en/latest/ Yellowbrick] | ** [http://www.scikit-yb.org/en/latest/ Yellowbrick] | ||
| + | ** [http://shixialiu.com/publications/cnnvis/demo/ CNNVis] | ||
* [[3D Simulation Environments]] | * [[3D Simulation Environments]] | ||
* [[(Deep) Convolutional Neural Network (DCNN/CNN)]] | * [[(Deep) Convolutional Neural Network (DCNN/CNN)]] | ||
Revision as of 22:26, 1 January 2019
YouTube search... ...Google search
- Overview of Model Visualization Architecture and Types | XenonStack
- Tools:
- 3D Simulation Environments
- (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
