update readme

Author: zsdonghao

README.md

@@ -132,13 +132,6 @@ We have included the corresponding modularized implementations of Google TensorF
 
 # More Examples
 
-
-## Note
-* TensorLayer provides two set of Convolutional layer APIs, see [(Professional)](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#convolutional-layer-pro)and [(Simplified)](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#convolutional-layer-simplified) on readthedocs website.
-* If you get into trouble, you can start a discussion on [Gitter](https://gitter.im/tensorlayer/Lobby#?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge>),
-[Help Wanted Issues](https://waffle.io/zsdonghao/tensorlayer),
-[QQ group](https://github.com/zsdonghao/tensorlayer/blob/master/img/img_qq.png) and [Wechat group]([email protected]).
-
 ## Basics
  - Multi-layer perceptron (MNIST). A multi-layer perceptron implementation for MNIST classification task, see ``tutorial_mnist_simple.py``.
 
@@ -185,6 +178,13 @@ We have included the corresponding modularized implementations of Google TensorF
  - Data augmentation with TensorLayer, see ``tutorial_image_preprocess.py``.
  - TensorDB by [fangde](https://github.com/fangde) see [here](https://github.com/akaraspt/tl_paper).
 
+## Notes
+* TensorLayer provides two set of Convolutional layer APIs, see [(Professional)](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#convolutional-layer-pro)and [(Simplified)](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#convolutional-layer-simplified) on readthedocs website.
+* If you get into trouble, you can start a discussion on [Gitter](https://gitter.im/tensorlayer/Lobby#?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge>),
+[Help Wanted Issues](https://waffle.io/zsdonghao/tensorlayer),
+[QQ group](https://github.com/zsdonghao/tensorlayer/blob/master/img/img_qq.png) and [Wechat group](https://github.com/shorxp/tensorlayer-chinese/blob/master/docs/TensorLayer交流群介绍.md).
+
+
 # License
 
 TensorLayer is released under the Apache 2.0 license.