Difference between revisions of "Visualization"
| Line 14: | Line 14: | ||
*** [http://playground.tensorflow.org Neural Networks Playground] | *** [http://playground.tensorflow.org Neural Networks Playground] | ||
*** [http://ai.googleblog.com/2017/07/facets-open-source-visualization-tool.html Facets] | *** [http://ai.googleblog.com/2017/07/facets-open-source-visualization-tool.html Facets] | ||
| + | ** [http://www.wandb.com/articles/visualize-keras-models-with-one-line-of-code Visualize Keras Models with One Line of Code | Lukas & Jeff - Weights & Biases] | ||
** [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 12:40, 19 August 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
- 5 Python Libraries for Creating Interactive Plots | Melissa Bierly | Mode
- 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
- The Simpsons meets Data Visualization | Adam Reevesman -Towards Data Science
- 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
- Feature Exploration/Learning