Difference between revisions of "Graphical Tools for Modeling AI Components"
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These range from a new interface for a tool that completely automates the process of creating models, to a new no-code visual interface for building, training and deploying models, all the way to hosted Jupyter-style notebooks for advanced users. Tools that allow visual drag-and-drop interface to streamline and simplify your process | These range from a new interface for a tool that completely automates the process of creating models, to a new no-code visual interface for building, training and deploying models, all the way to hosted Jupyter-style notebooks for advanced users. Tools that allow visual drag-and-drop interface to streamline and simplify your process | ||
| − | * [[TensorFlow]] | + | * [[TensorFlow]]... |
** Playground | ** Playground | ||
** TensorBoard | ** TensorBoard | ||
Revision as of 13:54, 7 December 2019
YouTube Search ...Google search
- Development
- Model Zoo
- 10 Tools for Modeling AI Components – Machine Learning without the code | Jordi Cabot - Modeling Languages
These range from a new interface for a tool that completely automates the process of creating models, to a new no-code visual interface for building, training and deploying models, all the way to hosted Jupyter-style notebooks for advanced users. Tools that allow visual drag-and-drop interface to streamline and simplify your process
- TensorFlow...
- Playground
- TensorBoard
- Nvidia Digits
- Knime
- PerceptiLabs
- lobe
- CognitiveScale - Cortex Studio
- RapidMiner
- Orange
- Dataiku
- Dianne
- H2O - Driverless AI
- Microsoft Azure - Azure Machine Learning studio
- IBM - Watson Studio SPSS Modeler
