Difference between revisions of "Visualization"
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* [http://www.infoq.com/presentations/ml-dl-visualization Understanding ML/DL Models using Interactive Visualization Techniques | Chakri Cherukuri] | * [http://www.infoq.com/presentations/ml-dl-visualization Understanding ML/DL Models using Interactive Visualization Techniques | Chakri Cherukuri] | ||
* [[Data Flow Graph (DFG)]] | * [[Data Flow Graph (DFG)]] | ||
| − | * [[Explainable Artificial Intelligence ( | + | * [[Explainable Artificial Intelligence (XAI)]] |
* [[(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 | ||
Revision as of 21:09, 23 February 2019
YouTube search... ...Google search
- Tools:
- The Five Best Data Visualization Libraries | Lio Fleishman, Sisense
- Data Visualization for Artificial Intelligence, and Vice Versa | Nicolas Kruchten
- Overview of Model Visualization Architecture and Types | XenonStack
- Understanding ML/DL Models using Interactive Visualization Techniques | Chakri Cherukuri
- Data Flow Graph (DFG)
- Explainable Artificial Intelligence (XAI)
- (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
- Datasets
- Batch Norm(alization) & Standardization
- Data Preprocessing
- Feature Exploration/Learning
- Hyperparameters
- Data Augmentation
- Master Data Management (MDM) / Feature Store / Data Lineage / Data Catalog
