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Vitis AI 1.3 release
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README.md

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@@ -139,12 +139,12 @@ Vitis AI offers a unified set of high-level C++/Python programming APIs to run A
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| 7 | segmentation | FPN | Caffe | Semantic segmentation with VART C\+\+ APIs\. |
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| 8 | squeezenet\_pytorch | Squeezenet | Pytorch | Image classification with VART C\+\+ APIs\. |
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For more information, please refer to [Vitis AI User Guide](https://www.xilinx.com/html_docs/vitis_ai/1_2/zkj1576857115470.html)
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For more information, please refer to [Vitis AI User Guide](https://www.xilinx.com/html_docs/vitis_ai/1_3/zmw1606771874842.html)
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## References
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- [Vitis AI Overview](https://www.xilinx.com/products/design-tools/vitis/vitis-ai.html)
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- [Vitis AI User Guide](https://www.xilinx.com/html_docs/vitis_ai/1_2/zkj1576857115470.html)
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- [Vitis AI User Guide](https://www.xilinx.com/html_docs/vitis_ai/1_3/zmw1606771874842.html)
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- [Vitis AI Model Zoo with Performance & Accuracy Data](models/AI-Model-Zoo)
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- [Vitis AI Tutorials](https://github.com/Xilinx/Vitis-In-Depth-Tutorial/tree/master/Machine_Learning)
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- [Developer Articles](https://developer.xilinx.com/en/get-started/ai.html)

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