Update paddle_quantization_en.md

docs/en/extension/paddle_quantization_en.md

@@ -9,4 +9,4 @@ By using this toolkit, [PaddleClas](https://github.com/PaddlePaddle/PaddleClas)
 After quantized, the prediction speed is accelerated from 19.308ms to 14.395ms on SD855.
 The storage size is reduced from 21M to 10M.
 The top1 recognition accuracy rate is 75.9%.
-For specific training methods, please refer to [PaddleSlim quant aware](https://paddlepaddle.github.io/PaddleSlim/quick_start/quant_aware_tutorial.html)。
+For specific training methods, please refer to [PaddleSlim quant aware](https://paddleslim.readthedocs.io/zh_CN/release-2.0.0/tutorials/quant/dygraph/quant_aware_training_tutorial.html)。