Quick answer
Quantizing ResNet variants with Vitis-AI 3.0 & Pytorch is an open source FPGA project from Hackster.io, indexed by ZouIC. This tutorial detailed on Quantization steps (including PTQ, Fast-finetuning & QAT) for Renset 50, 101 & 152 in Pytorch & Vitis AI 3.0.
- Source
- Hackster.io
- Focus
- FPGA
- Author
- LogicTronix [FPGA Design + Machine Learning Company]
- Published
- 2023-08-02
Common questions
What does Quantizing ResNet variants with Vitis-AI 3.0 & Pytorch do?
This tutorial detailed on Quantization steps (including PTQ, Fast-finetuning & QAT) for Renset 50, 101 & 152 in Pytorch & Vitis AI 3.0.
Where does Quantizing ResNet variants with Vitis-AI 3.0 & Pytorch come from?
ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/LogicTronix/quantizing-resnet-variants-with-vitis-ai-3-0-pytorch-550a04.
What stack does Quantizing ResNet variants with Vitis-AI 3.0 & Pytorch use?
tags AMD Xilinx, tutorial, intermediate.
When was Quantizing ResNet variants with Vitis-AI 3.0 & Pytorch published?
The source page lists 2023-08-02.
Indexed by ZouIC from the source platform public page, for developer reference only. Copyright and licensing stay with the author; get code and files from the original platform.
Quantizing ResNet variants with Vitis-AI 3.0 & Pytorch
Published 2023-08-02
This tutorial detailed on Quantization steps (including PTQ, Fast-finetuning & QAT) for Renset 50, 101 & 152 in Pytorch & Vitis AI 3.0.
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This content is sourced from Hackster.io Platform，All rights reserved by the original author. This platform only provides indexing and summaries. For detailed content, please visit the original link.