update

README.md

@@ -12,6 +12,7 @@
 [![Documentation Status](https://readthedocs.org/projects/tensorlayer/badge/)](https://tensorlayer.readthedocs.io/)
 [![Build Status](https://travis-ci.org/tensorlayer/tensorlayer.svg?branch=master)](https://travis-ci.org/tensorlayer/tensorlayer)
 [![Downloads](http://pepy.tech/badge/tensorlayer)](http://pepy.tech/project/tensorlayer)
+[![Downloads](https://pepy.tech/badge/tensorlayer/week)](https://pepy.tech/project/tensorlayer/week)
 [![Docker Pulls](https://img.shields.io/docker/pulls/tensorlayer/tensorlayer.svg)](https://hub.docker.com/r/tensorlayer/tensorlayer/)
 [![Codacy Badge](https://api.codacy.com/project/badge/Grade/d6b118784e25435498e7310745adb848)](https://www.codacy.com/app/tensorlayer/tensorlayer)
 
@@ -20,19 +21,19 @@
 <!---  [![Documentation Status](https://readthedocs.org/projects/tensorlayercn/badge/)](https://tensorlayercn.readthedocs.io/)
 <!---  [![PyUP Updates](https://pyup.io/repos/github/tensorlayer/tensorlayer/shield.svg)](https://pyup.io/repos/github/tensorlayer/tensorlayer/) --->
 
-TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extensive collection of customizable neural layers to build complex AI models. TensorLayer is awarded the 2017 Best Open Source Software by the [ACM Multimedia Society](https://twitter.com/ImperialDSI/status/923928895325442049). 
-TensorLayer can also be found at [iHub](https://code.ihub.org.cn/projects/328) and [Gitee](https://gitee.com/organizations/TensorLayer).
+[TensorLayer](https://tensorlayer.readthedocs.io) is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extensive collection of customizable neural layers to build advanced AI models quickly, based on this, the community open-sourced mass [tutorials](https://github.com/tensorlayer/tensorlayer/blob/master/examples/reinforcement_learning/README.md) and [applications](https://github.com/tensorlayer). TensorLayer is awarded the 2017 Best Open Source Software by the [ACM Multimedia Society](https://twitter.com/ImperialDSI/status/923928895325442049). 
+This project can also be found at [iHub](https://code.ihub.org.cn/projects/328) and [Gitee](https://gitee.com/organizations/TensorLayer).
 
 # News
 
-🔥 Reinforcement Learning Model Zoo: [Low-level APIs for Research](https://github.com/tensorlayer/tensorlayer/tree/master/examples/reinforcement_learning) and [High-level APIs for Production](https://github.com/tensorlayer/RLzoo)
+🔥 **3.0.0 will supports multiple backends, such as TensorFlow, MindSpore and more, allowing users to run the code on different hardware like Nvidia-GPU and Huawei-Ascend. We need more people to join the dev team, if you are interested, please email hao.dong@pku.edu.cn**
+
+🔥 Reinforcement Learning Zoo: [Low-level APIs](https://github.com/tensorlayer/tensorlayer/tree/master/examples/reinforcement_learning) for professional usage, [High-level APIs](https://github.com/tensorlayer/RLzoo) for simple usage, and a corresponding [Springer textbook](http://springer.com/gp/book/9789811540943)
 
 🔥 [Sipeed Maxi-EMC](https://github.com/sipeed/Maix-EMC): Run TensorLayer models on the **low-cost AI chip** (e.g., K210) (Alpha Version)
 
 <!-- 🔥 [NNoM](https://github.com/majianjia/nnom): Run TensorLayer quantized models on the **MCU** (e.g., STM32) (Coming Soon) -->
 
-🔥 [Free GPU and storage resources](https://github.com/fangde/FreeGPU): TensorLayer users can access to free GPU and storage resources donated by SurgicalAI. Thank you SurgicalAI!
-
 # Design Features
 
 TensorLayer is a new deep learning library designed with simplicity, flexibility and high-performance in mind.
@@ -145,7 +146,7 @@ The following table shows the training speeds of [VGG16](http://www.robots.ox.ac
 |   Mode    |       Lib       |  Data Format  | Max GPU Memory Usage(MB)  |Max CPU Memory Usage(MB) | Avg CPU Memory Usage(MB) | Runtime (sec) |
 | :-------: | :-------------: | :-----------: | :-----------------: | :-----------------: | :-----------------: | :-----------: |
 | AutoGraph | TensorFlow 2.0  | channel last  | 11833 |      2161         |        2136         |      74       |
-|           | Tensorlayer 2.0 | channel last  | 11833 |      2187         |        2169         |      76       |
+|           | TensorLayer 2.0 | channel last  | 11833 |      2187         |        2169         |      76       |
 |   Graph   |      Keras      | channel last  | 8677 |      2580         |        2576         |      101       |
 |   Eager   | TensorFlow 2.0  | channel last  | 8723 |      2052         |        2024         |      97       |
 |           | TensorLayer 2.0 | channel last  | 8723 |      2010         |        2007         |      95       |
@@ -158,7 +159,7 @@ We suggest users to report bugs using Github issues. Users can also discuss how
 
 <br/>
 
-<a href="https://join.slack.com/t/tensorlayer/shared_invite/enQtMjUyMjczMzU2Njg4LWI0MWU0MDFkOWY2YjQ4YjVhMzI5M2VlZmE4YTNhNGY1NjZhMzUwMmQ2MTc0YWRjMjQzMjdjMTg2MWQ2ZWJhYzc" target="\_blank">
+<a href="https://join.slack.com/t/tensorlayer/shared_invite/enQtODk1NTQ5NTY1OTM5LTQyMGZhN2UzZDBhM2I3YjYzZDBkNGExYzcyZDNmOGQzNmYzNjc3ZjE3MzhiMjlkMmNiMmM3Nzc4ZDY2YmNkMTY" target="\_blank">
 	<div align="center">
 		<img src="img/join_slack.png" width="40%"/>
 	</div>
@@ -178,4 +179,4 @@ If you find TensorLayer useful for your project, please cite the following paper
     url     = {http://tensorlayer.org},
     year    = {2017}
 }
-```
+```