Merge branch 'master' of https://github.com/alibaba/MNN

README.md

@@ -14,9 +14,11 @@ The design principles and performance data of MNN has been published in an MLSys
       year = {2020}
     }
 
-## Documentation
+## Documentation and Tools
 MNN's docs are in placed in [Yuque docs here](https://www.yuque.com/mnn/en). 
 
+MNN Workbench could be downloaded from [MNN's homepage](http://www.mnn.zone), which provides pretrained models, visualized training tools, and one-click deployment of models to devices.
+
 ## Key Features
 ### High performance
 - Implements core computing with lots of optimized assembly code to make full use of the ARM CPU.

README_CN.md

@@ -14,9 +14,11 @@ MNN的架构设计理念与性能数据在MLSys 2020上面发表。Paper [在此
       year = {2020}
     }
 
-## 文档
+## 文档与工具
 MNN的使用文档统一放在语雀，请移步至[语雀文档](https://www.yuque.com/mnn/cn)。
 
+[MNN官网](http://www.mnn.zone)上还可以下载MNN团队全新力作MNN工作台，涵盖开箱即用模型、可视化训练等工具，更可以一键部署到多端设备。
+
 ## MNN 特色
 ### 高性能
 - 不依赖任何第三方计算库，依靠大量手写汇编实现核心运算，充分发挥ARM CPU的算力。