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| author | xuhaibing <hxu@openailab.com> | 2017-09-24 23:22:13 +0800 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2017-09-24 23:22:13 +0800 |
| commit | ed85390adff443080a2d05d4690922a170d6c69f (patch) | |
| tree | 82b6c3c7e2a447294a40e679cb22d4e14081ade6 | |
| parent | 2dfa9c0e0fc8d353730f463d9422140110bb12f5 (diff) | |
| download | caffeonacl-ed85390adff443080a2d05d4690922a170d6c69f.tar.gz caffeonacl-ed85390adff443080a2d05d4690922a170d6c69f.tar.bz2 caffeonacl-ed85390adff443080a2d05d4690922a170d6c69f.zip | |
Update release_notes.md
| -rw-r--r-- | acl_openailab/release_notes.md | 8 |
1 files changed, 3 insertions, 5 deletions
diff --git a/acl_openailab/release_notes.md b/acl_openailab/release_notes.md index 8b799d34..b1ce0329 100644 --- a/acl_openailab/release_notes.md +++ b/acl_openailab/release_notes.md @@ -1,16 +1,14 @@ -# 1. Release Note
+# 1. CaffeOnACL
[](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 Platform, target OS is Ubuntu 16.04. Can download the source code from [OAID/CaffeOnACL](https://github.com/OAID/CaffeOnACL)
+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).
-## 1.1 CaffeOnACL :
-The release is validated on [Rockchip RK3399](http://www.rock-chips.com/plus/3399.html), Operation system is Ubuntu 16.04.
-
+## 1.1 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)
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