fix readme link, test=document_fix

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littletomatodonkey 2020-10-12 12:57:27 +00:00
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**Recent update**
- 2020.10.12 Add Paddle-Lite demo。
- 2020.10.10 Add cpp inference demo and improve FAQ tutorial.
- 2020.09.17 Add `HRNet_W48_C_ssld` pretrained model, whose Top-1 Acc on ImageNet-1k dataset reaches 83.62%. Add `ResNet34_vd_ssld` pretrained model, whose Top-1 Acc on ImageNet-1k dataset reaches 79.72%.
- 2020.09.07 Add `HRNet_W18_C_ssld` pretrained model, whose Top-1 Acc on ImageNet-1k dataset reaches 81.16%.
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- Data augmentation: PaddleClas provides detailed introduction of 8 data augmentation algorithms such as AutoAugment, Cutout, Cutmix, code reproduction and effect evaluation in a unified experimental environment.
- Pretrained model with 100,000 categories: Based on `ResNet50_vd` model, Baidu open sourced the `ResNet50_vd` pretrained model trained on a 100,000-category dataset. In some practical scenarios, the accuracy based on the pretrained weights can be increased by up to 30%.
- Pretrained model with 100,000 categories: Based on `ResNet50_vd` model, Baidu open sourced the `ResNet50_vd` pretrained model trained on a 100,000-category dataset. In some practical scenarios, the accuracy based on the pretrained weights can be increased by up to 30%.
- A variety of training modes, including multi-machine training, mixed precision training, etc.
@ -55,9 +56,9 @@ PaddleClas is a toolset for image classification tasks prepared for the industry
- Model prediction/inference
- [Prediction based on training engine](./docs/en/extension/paddle_inference_en.md)
- [Python inference](./docs/en/extension/paddle_inference_en.md)
- C++ inference (coming soon)
- [C++ inference](./deploy/cpp_infer/readme_en.md)
- [Serving deployment](./docs/en/extension/paddle_serving_en.md)
- Mobile (coming soon)
- [Mobile](./deploy/lite/readme.md)
- [Model Quantization and Compression](docs/en/extension/paddle_quantization_en.md)
- Advanced tutorials
- [Knowledge distillation](./docs/en/advanced_tutorials/distillation/distillation_en.md)

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飞桨图像分类套件PaddleClas是飞桨为工业界和学术界所准备的一个图像分类任务的工具集助力使用者训练出更好的视觉模型和应用落地。
**近期更新**
- 2020.10.12 添加Paddle-Lite demo。
- 2020.10.10 添加cpp inference demo完善`FAQ 30问`教程。
- 2020.09.17 添加 `HRNet_W48_C_ssld `模型在ImageNet-1k上Top-1 Acc可达83.62%;添加 `ResNet34_vd_ssld `模型在ImageNet-1k上Top-1 Acc可达79.72%。
- 2020.09.07 添加 `HRNet_W18_C_ssld `模型在ImageNet-1k上Top-1 Acc可达81.16%;添加 `MobileNetV3_small_x0_35_ssld `模型在ImageNet-1k上Top-1 Acc可达55.55%。
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- 模型预测
- [基于训练引擎预测推理](./docs/zh_CN/extension/paddle_inference.md)
- [基于Python预测引擎预测推理](./docs/zh_CN/extension/paddle_inference.md)
- 基于C++预测引擎预测推理(coming soon)
- [基于C++预测引擎预测推理](./deploy/cpp_infer/readme.md)
- [服务化部署](./docs/zh_CN/extension/paddle_serving.md)
- 端侧部署(coming soon)
- [端侧部署](./deploy/lite/readme.md)
- [模型量化压缩](docs/zh_CN/extension/paddle_quantization.md)
- 高阶使用
- [知识蒸馏](./docs/zh_CN/advanced_tutorials/distillation/distillation.md)

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# Release Notes
- 2020.10.12
* Add Paddle-Lite demo.
- 2020.10.10
* Add cpp inference demo.
* Improve FAQ tutorials.

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# 更新日志
- 2020.10.12
* 添加Paddle-Lite demo。
- 2020.10.10
* 添加cpp inference demo。