Difference between revisions of "Visualization"
| Line 31: | Line 31: | ||
* [[Datasets]] | * [[Datasets]] | ||
* [[Batch Norm(alization) & Standardization]] | * [[Batch Norm(alization) & Standardization]] | ||
| − | * [[Data Preprocessing | + | * [[Data Preprocessing]] |
| + | * [[Feature Exploration/Learning]] | ||
* [[Hyperparameters]] | * [[Hyperparameters]] | ||
* [[Data Augmentation]] | * [[Data Augmentation]] | ||
Revision as of 08:38, 16 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
- 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
- Datasets
- Batch Norm(alization) & Standardization
- Data Preprocessing
- Feature Exploration/Learning
- Hyperparameters
- Data Augmentation
- Master Data Management (MDM) / Feature Store / Data Lineage / Data Catalog
