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[README] Update versions and table
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auphelia committed May 7, 2024
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<img src="https://img.shields.io/github/v/release/Xilinx/finn-examples?color=%09%23228B22&display_name=tag&label=Release" />
</a>
<a href="https://github.com/Xilinx/finn/tree/v0.9">
<img src="https://img.shields.io/badge/FINN-v0.9.0-blue" />
<img src="https://img.shields.io/badge/FINN-v0.10-blue" />
</a>
<a href="https://github.com/Xilinx/PYNQ/tree/v3.0.1">
<img src="https://img.shields.io/badge/PYNQ-v3.0.1-blue" />
</a>
<a href="https://www.xilinx.com/support/download/index.html/content/xilinx/en/downloadNav/vivado-design-tools/2022-1.html">
<img src="https://img.shields.io/badge/Vivado%2FVitis-v2022.1-blue" />
<img src="https://img.shields.io/badge/Vivado%2FVitis-v2022.2-blue" />
</a>
</p>

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| CIFAR-10 | CNV (VGG-11-like) | several variants:<br>1/2-bit weights/activations | Pynq-Z1<br>ZCU104<br>Ultra96<br>U250 | Pynq-Z1<br>ZCU104<br>Ultra96<br>U250 |
| MNIST | 3-layer fully-connected | several variants:<br>1/2-bit weights/activations | Pynq-Z1<br>ZCU104<br>Ultra96<br>U250 | Pynq-Z1<br>ZCU104<br>Ultra96<br>U250 |
| ImageNet | MobileNet-v1 | 4-bit weights & activations<br>8-bit first layer weights | Alveo U250 | Alveo U250 |
| ImageNet | ResNet-50 | 1-bit weights 2-bit activations<br>4-bit residuals<br>8-bit first/last layer weights | Alveo U250 | - |
| ImageNet | ResNet-50 | 1-bit weights 2-bit activations<br>4-bit residuals<br>8-bit first/last layer weights | Alveo U250 | Alveo U250 |
| RadioML 2018 | 1D CNN (VGG10) | 4-bit weights & activations | ZCU104 | ZCU104 |
| MaskedFace-Net | [BinaryCoP](https://arxiv.org/pdf/2102.03456)<br/>*Contributed by TU Munich+BMW* | 1-bit weights & activations | Pynq-Z1 | Pynq-Z1 |
| Google Speech Commands v2 | 3-layer fully-connected | 3-bit weights & activations | Pynq-Z1 | Pynq-Z1 |
| UNSW-NB15 | 4-layer fully-connected | 2-bit weights & activations | Pynq-Z1 <br> ZCU104 <br> Ultra96 | Pynq-Z1 <br> ZCU104 <br> Ultra96 |
| GTSRB | CNV (VGG-11-like) | 1-bit weights & activations | Pynq-Z1 | Pynq-Z1 |

*Please note that the build flow for ResNet-50 for the Alveo U250 has known issues and we're currently working on resolving them. However, you can still execute the associated notebook, as we provide a pre-built FPGA bitfile generated with an older Vivado (/FINN) version targeting the [xilinx_u250_xdma_201830_2](https://www.xilinx.com/products/boards-and-kits/alveo/package-files-archive/u250-2018-3-1.html) platform.* <br>
*Furthermore, please note that you can target other boards (such as the Pynq-Z2 or ZCU102) by changing the build script manually, but these accelerators have not been tested.*
*Please note that you can target other boards (such as the Pynq-Z2 or ZCU102) by changing the build script manually, but these accelerators have not been tested.*

We welcome community contributions to add more examples to this repo!

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