Difference between revisions of "TensorWatch"
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[http://www.google.com/search?q=tensorwatch+deep+machine+learning+ML ...Google search] | [http://www.google.com/search?q=tensorwatch+deep+machine+learning+ML ...Google search] | ||
| + | * [http://github.com/microsoft/tensorwatch TensorWatch | GitHub] | ||
* [http://www.microsoft.com/en-us/research/blog/microsoft-makes-ai-debugging-and-visualization-tool-tensorwatch-open-source/ Microsoft makes AI debugging and visualization tool TensorWatch open source | Microsoft] | * [http://www.microsoft.com/en-us/research/blog/microsoft-makes-ai-debugging-and-visualization-tool-tensorwatch-open-source/ Microsoft makes AI debugging and visualization tool TensorWatch open source | Microsoft] | ||
* [[TensorFlow]] | * [[TensorFlow]] | ||
* [[Visualization]] | * [[Visualization]] | ||
* [[Colaboratory]] (Colab) | * [[Colaboratory]] (Colab) | ||
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* [[TensorBoard]] | * [[TensorBoard]] | ||
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| + | TensorWatch is a debugging and visualization tool designed for data science, deep learning and reinforcement learning from Microsoft Research. It works in Jupyter Notebook to show real-time visualizations of your machine learning training and perform several other key analysis tasks for your models and data. TensorWatch is designed to be flexible and extensible so you can also build your own custom visualizations, | ||
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| + | http://www.microsoft.com/en-us/research/uploads/prod/2019/06/TensorWatch-Image-1.gif | ||
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| + | http://www.microsoft.com/en-us/research/uploads/prod/2019/06/TensorWatch-Image-2.gif | ||
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<youtube>iWAjHaDIbGY</youtube> | <youtube>iWAjHaDIbGY</youtube> | ||
<youtube>wBhELSVTg8U</youtube> | <youtube>wBhELSVTg8U</youtube> | ||
Latest revision as of 20:55, 29 September 2019
YouTube search... ...Google search
- TensorWatch | GitHub
- Microsoft makes AI debugging and visualization tool TensorWatch open source | Microsoft
- TensorFlow
- Visualization
- Colaboratory (Colab)
- TensorBoard
TensorWatch is a debugging and visualization tool designed for data science, deep learning and reinforcement learning from Microsoft Research. It works in Jupyter Notebook to show real-time visualizations of your machine learning training and perform several other key analysis tasks for your models and data. TensorWatch is designed to be flexible and extensible so you can also build your own custom visualizations,
