Difference between revisions of "Visualization"
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** [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]] | ||
| − | *** [ | + | *** [[TensorFlow 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://www.wandb.com/articles/visualize-keras-models-with-one-line-of-code Visualize Keras Models with One Line of Code | Lukas & Jeff - Weights & Biases] | ||
Revision as of 21:06, 19 August 2020
YouTube search... ...Google search
- Tools:
- The Five Best Data Visualization Libraries | Lio Fleishman, Sisense
- 5 Python Libraries for Creating Interactive Plots | Melissa Bierly | Mode
- The 9 Best Analytics Tools For Data Visualization Available Today and The 10 Best Data Analytics And BI Platforms And Tools In 2020 | Bernard Marr - Forbes
- 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
- A Gentle Introduction to Data Visualization Methods in Python | Jason Brownlee - Machine Learning Mastery
- 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
- Graphical Tools for Modeling AI Components
- Feature Engineering and Selection: A Practical Approach for Predictive Models - 4 Exploratory Visualizations | Max Kuhn and Kjell Johnson
Python
