PyTorch: Difference between revisions
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* [[How to import an ONNX file using drag and drop]] | * [[How to import an ONNX file using drag and drop]] | ||
* [[How to import an ONNX file for an Inference Overlay]] | * [[How to import an ONNX file for an Inference Overlay]] | ||
* [[How to adjust a Neural Networks metadata]] | |||
|seealso= | |seealso= | ||
* [[ONNX]] | * [[ONNX]] | ||
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==References== | ==References== | ||
<references> | <references> | ||
<ref name="PyTorch">PyTorch ∙ found at: https://pytorch.org/ (last visited: | <ref name="PyTorch">PyTorch ∙ found at: https://pytorch.org/ (last visited: 2025-02-04)</ref> | ||
</references> | </references> | ||
{{GeoDataOverview}} | {{GeoDataOverview}} | ||
Latest revision as of 15:25, 4 February 2025
PyTorch[1] is a Python-based, open source, and production-ready AI framework that supports distributed training, graph mode, and cloud platforms.
A PyTorch model can be converted to an ONNX file, which in turn can be imported into the Tygron Platform as a Neural Network for an Inference Overlay.
How-to's
- How to export AI Training Data
- How to train your own AI model for an Inference Overlay
- How to import an ONNX file using drag and drop
- How to import an ONNX file for an Inference Overlay
- How to adjust a Neural Networks metadata
See also
References
- ↑ PyTorch ∙ found at: https://pytorch.org/ (last visited: 2025-02-04)