!887 fix post training quant doc

Merge pull request !887 from xutianchun/link_r07

lite/tutorials/source_zh_cn/use/post_training_quantization.md

@@ -58,6 +58,6 @@
  |  模型                |  测试数据集   | method_x      |  FP32模型精度    |  训练后量化精度 | 说明 |
  | --------            | -------      | -----          | -----            | -----     | -----  |
  | [Inception_V3](https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/inception_v3_2018_04_27.tgz) | [ImageNet](http://image-net.org/) | KL |    77.92%   |   77.95%   | 校准数据集随机选择ImageNet Validation数据集中的100张 |
- | [Mobilenet_V1_1.0_224](https://torage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224.tgz)      | [ImageNet](http://image-net.org/) | KL |    70.96%    |  70.69%  | 校准数据集随机选择ImageNet Validation数据集中的100张 |
+ | [Mobilenet_V1_1.0_224](https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224.tgz)      | [ImageNet](http://image-net.org/) | KL |    70.96%    |  70.69%  | 校准数据集随机选择ImageNet Validation数据集中的100张 |
 
 > 以上所有结果均在x86环境上测得。