Difference between revisions of "Visualization"
| Line 4: | Line 4: | ||
* [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: | ||
| − | ** [http://ai.google/research/teams/brain/pair Google People + AI Research (PAIR)] | + | ** [http://ai.google/research/teams/brain/pair Google: People + AI Research (PAIR)] |
*** [[TensorBoard]] | *** [[TensorBoard]] | ||
| − | *** [ | + | *** [http://playground.tensorflow.org Neural Networks Playground] |
| + | *** [http://github.com/pair-code/facets Facets] | ||
** [http://visualdl.paddlepaddle.org/ Visual DL] | ** [http://visualdl.paddlepaddle.org/ Visual DL] | ||
** [http://pypi.org/project/netron/ Netron] | ** [http://pypi.org/project/netron/ Netron] | ||
Revision as of 23:22, 1 January 2019
YouTube search... ...Google search
- Overview of Model Visualization Architecture and Types | XenonStack
- Tools:
- Understanding ML/DL Models using Interactive Visualization Techniques | Chakri Cherukuri
- Explainable Artificial Intelligence (EAI)
- (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