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diff --git a/acl_openailab/README.md b/acl_openailab/README.md
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+++ b/acl_openailab/README.md
@@ -1,17 +1,64 @@
-<img src="openailab.png" width = "308" height = "88" alt="OPEN AI LAB" align=center />
-
-The **Arm Compute Library** is a collection of low-level software functions optimized for Arm Cortex CPU and Arm Mali GPU architectures, targeted at a variety of use-cases including: **image processing**, **computer vision and machine learning**.  [![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)
-
-**OPEN** AI LAB ported the [Caffe](http://caffe.berkeleyvision.org/) to support Arm Compute Library on  Rockchip RK3399. The target OS is Ubuntu 16.04. [![License](https://img.shields.io/badge/license-BSD-blue.svg)](LICENSE)
-
-# 1. Release Notes
-Please refer to [Release Notes](release_notes.md) for details
-
-# 2. Installation
-Please refer to [Installation](installation.md) for details
-
-# 3. Performance Report
-Please refer to [Performance Report](performance_report.pdf) for details
-
-# 4. User Manual 
-Please refer to [User Manual](user_manual.pdf) for details
+# CaffeOnACL

+[![License](https://img.shields.io/badge/license-BSD-blue.svg)](LICENSE)

+

+CaffeOnACL is a project that is maintained by **OPEN** AI LAB, it uses Arm Compute Library (NEON+GPU) to speed up [Caffe](http://caffe.berkeleyvision.org/) and provide utilities to debug, profile and tune application performance. 

+

+The release version is 0.3.0, is based on [Rockchip RK3399](http://www.rock-chips.com/plus/3399.html) Platform, target OS is Ubuntu 16.04. Can download the source code from [OAID/CaffeOnACL](https://github.com/OAID/CaffeOnACL)

+

+* The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies. See also [Arm Compute Library](https://github.com/ARM-software/ComputeLibrary).

+* Caffe is a fast open framework for deep learning. See also [Caffe](https://github.com/BVLC/caffe).

+

+### Documents

+* [Installation instructions](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/installation.md)

+* [User Manuals PDF](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/user_manual.pdf)

+* [Performance Report PDF](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/performance_report.pdf)

+

+### Arm Compute Library Compatibility Issues :

+There are some compatibility issues between ACL and Caffe Layers, we bypass it to Caffe's original layer class as the workaround solution for the below issues

+

+* Normalization in-channel issue

+* Tanh issue

+* Softmax supporting multi-dimension issue

+* Group issue

+

+Performance need be fine turned in the future

+

+# Release History

+The Caffe based version is [793bd96351749cb8df16f1581baf3e7d8036ac37](https://github.com/BVLC/caffe/tree/793bd96351749cb8df16f1581baf3e7d8036ac37).

+

+### Version 0.3.0 - Aug 26, 2017

+Support Arm Compute Library version 17.06 with 4 new layers added

+

+* Batch Normalization Layer

+* Direct convolution Layer

+* Locally Connect Layer

+* Concatenate layer

+

+

+### Version 0.2.0 - Jul 2, 2017

+

+Fix the issues:

+

+* Compatible with Arm Compute Library version 17.06

+* When OpenCL initialization fails, even if Caffe uses CPU-mode,it doesn't work properly.

+

+### Version 0.1.0 - Jun 2, 2017 

+   

+  Initial version supports 10 Layers accelerated by Arm Compute Library version 17.05 : 

+

+* Convolution Layer

+* Pooling Layer

+* LRN Layer

+* ReLU Layer

+* Sigmoid Layer

+* Softmax Layer

+* TanH Layer

+* AbsVal Layer

+* BNLL Layer

+* InnerProduct Layer

+

+# 3 Issue Report

+Encounter any issue, please report on [issue report](https://github.com/OAID/CaffeOnACL/issues). Issue report should contain the following information :

+

+*  The exact description of the steps that are needed to reproduce the issue 

+* The exact description of what happens and what you think is wrong 

diff --git a/acl_openailab/release_notes.md b/acl_openailab/release_notes.md
deleted file mode 100644
index 526b2f8b..00000000
--- a/acl_openailab/release_notes.md
+++ /dev/null
@@ -1,64 +0,0 @@
-# CaffeOnACL

-[![License](https://img.shields.io/badge/license-BSD-blue.svg)](LICENSE)

-

-CaffeOnACL is a project that is maintained by **OPEN** AI LAB, it uses Arm Compute Library (NEON+GPU) to speed up [Caffe](http://caffe.berkeleyvision.org/) and provide utilities to debug, profile and tune application performance. 

-

-The release version is 0.3.0, is based on [Rockchip RK3399](http://www.rock-chips.com/plus/3399.html) Platform, target OS is Ubuntu 16.04. Can download the source code from [OAID/CaffeOnACL](https://github.com/OAID/CaffeOnACL)

-

-* The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies. See also [Arm Compute Library](https://github.com/ARM-software/ComputeLibrary).

-* Caffe is a fast open framework for deep learning. See also [Caffe](https://github.com/BVLC/caffe).

-

-### Documents

-* [Installation instructions](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/installation.md)

-* [User Manuals PDF](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/user_manual.pdf)

-* [Performance Report PDF](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/performance_report.pdf)

-

-### Arm Compute Library Compatibility Issues :

-There are some compatibility issues between ACL and Caffe Layers, we bypass it to Caffe's original layer class as the workaround solution for the below issues

-

-* Normalization in-channel issue

-* Tanh issue

-* Softmax supporting multi-dimension issue

-* Group issue

-

-Performance need be fine turned in the future

-

-# Release History

-The Caffe based version is [793bd96351749cb8df16f1581baf3e7d8036ac37](https://github.com/BVLC/caffe/tree/793bd96351749cb8df16f1581baf3e7d8036ac37).

-

-### Version 0.3.0 - Aug 26, 2017

-Support Arm Compute Library version 17.06 with 4 new layers added

-

-* Batch Normalization Layer

-* Direct convolution Layer

-* Locally Connect Layer

-* Concatenate layer

-

-

-### Version 0.2.0 - Jul 2, 2017

-

-Fix the issues:

-

-* Compatible with Arm Compute Library version 17.06

-* When OpenCL initialization fails, even if Caffe uses CPU-mode,it doesn't work properly.

-

-### Version 0.1.0 - Jun 2, 2017 

-   

-  Initial version supports 10 Layers accelerated by Arm Compute Library version 17.05 : 

-

-* Convolution Layer

-* Pooling Layer

-* LRN Layer

-* ReLU Layer

-* Sigmoid Layer

-* Softmax Layer

-* TanH Layer

-* AbsVal Layer

-* BNLL Layer

-* InnerProduct Layer

-

-# 3 Issue Report

-Encounter any issue, please report on [issue report](https://github.com/OAID/CaffeOnACL/issues). Issue report should contain the following information :

-

-*  The exact description of the steps that are needed to reproduce the issue 

-* The exact description of what happens and what you think is wrong