Update release_notes.md

diff --git a/acl_openailab/release_notes.md b/acl_openailab/release_notes.md
index cdcf7ae..9ba439b 100644 (file)
--- a/acl_openailab/release_notes.md
+++ b/acl_openailab/release_notes.md
@@ -1,4 +1,4 @@
-\r
+)\r
 # Release Note\r
 [![License](https://img.shields.io/badge/license-BSD-blue.svg)](LICENSE)\r
 \r
@@ -7,15 +7,16 @@ CaffeOnACL is a project to use Arm Compute Library (NEON+GPU) to speed up caffe
 The release version is 0.3.0. You can download the source code from [OAID/CaffeOnACL](https://github.com/OAID/CaffeOnACL)\r
 \r
 * 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)\r
+* Caffe is a fast open framework for deep learning ([Caffe](https://github.com/BVLC/caffe))\r
 \r
 ## Verified Platform :\r
 \r
 The release is verified on ARMv8 processor\r
 \r
-- Hardware platform : Rockchip RK3399 ([RK3399 SoC](http://www.rock-chips.com/plus/3399.html)\r
+- Hardware platform : Rockchip RK3399 ([RK3399 SoC](http://www.rock-chips.com/plus/3399.html))\r
 - Software platform : Ubuntu 16.04<br>\r
 \r
-## ACL Compatibility Issues :\r
+## Arm Compute Library Compatibility Issues :\r
 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\r
 \r
 * Normalization in-channel issue\r