Merge remote-tracking branch 'remotes/internal/release_1.1.1a'

README.md

@@ -1,39 +1,8 @@
-# Caffe
-[![Build Status](https://travis-ci.org/BVLC/caffe.svg?branch=master)](https://travis-ci.org/BVLC/caffe)
-[![License](https://img.shields.io/badge/license-BSD-blue.svg)](LICENSE)
-
-Caffe is a deep learning framework made with expression, speed, and modularity in mind.
-It is developed by the Berkeley Vision and Learning Center ([BVLC](http://bvlc.eecs.berkeley.edu)) and community contributors.
-
-Check out the [project site](http://caffe.berkeleyvision.org) for all the details like
-- [DIY Deep Learning for Vision with Caffe](https://docs.google.com/presentation/d/1UeKXVgRvvxg9OUdh_UiC5G71UMscNPlvArsWER41PsU/edit#slide=id.p)
-- [Tutorial Documentation](http://caffe.berkeleyvision.org/tutorial/)
-- [BVLC reference models](http://caffe.berkeleyvision.org/model_zoo.html) and the [community model zoo](https://github.com/BVLC/caffe/wiki/Model-Zoo)
-- [Installation instructions](https://github.com/intel/caffe/wiki/Installation)
-
-and step-by-step examples.
-
-[![Join the chat at https://gitter.im/BVLC/caffe](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/BVLC/caffe?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
-
-Please join the [caffe-users group](https://groups.google.com/forum/#!forum/caffe-users) or [gitter chat](https://gitter.im/BVLC/caffe) to ask questions and talk about methods and models.
-Framework development discussions and thorough bug reports are collected on [Issues](https://github.com/BVLC/caffe/issues).
-
-Happy brewing!
-
-
-# SSD: Single Shot MultiBox Detector
-This repository contains merged code issued as pull request to BVLC caffe written by:
-[Wei Liu](http://www.cs.unc.edu/~wliu/), [Dragomir Anguelov](https://www.linkedin.com/in/dragomiranguelov), [Dumitru Erhan](http://research.google.com/pubs/DumitruErhan.html), [Christian Szegedy](http://research.google.com/pubs/ChristianSzegedy.html), [Scott Reed](http://www-personal.umich.edu/~reedscot/), [Cheng-Yang Fu](http://www.cs.unc.edu/~cyfu/), [Alexander C. Berg](http://acberg.com).
-
-Original branch can be found at https://github.com/weiliu89/caffe/tree/ssd.
-
-Read our [wiki page](https://github.com/intel/caffe/wiki/SSD:-Single-Shot-MultiBox-Detector) for more details.
-
 # Intel® Distribution of Caffe*
-This fork is dedicated to improving Caffe performance when running on CPU, in particular Intel® Xeon processors (HSW, BDW, Xeon Phi)
+This fork Caffe is dedicated to improving Caffe performance when running on CPU, in particular Intel® Xeon processors (HSW, BDW, Xeon Phi)
 
 ## Building
-Build procedure is the same as on bvlc-caffe-master branch. Both Make and CMake can be used.
+Build procedure is the same as on bvlc-caffe-master branch, see section "Caffe". Both Make and CMake can be used.
 When OpenMP is available will be used automatically.
 
 ## Running
@@ -50,6 +19,7 @@ limit execution of OpenMP threads to specified cores only.
 
 ## Best performance solution
 Please read [our Wiki](https://github.com/intel/caffe/wiki/Recommendations-to-achieve-best-performance) for our recommendations and configuration to achieve best performance on Intel CPUs. 
+Please find the performance and convergence test result at https://github.com/intel/caffe/wiki/INTEL%C2%AE-OPTIMIZED-CAFFE-PERFORMANCE-AND-CONVERGENCE
 
 ## Multinode Training
 Intel® Distribution of Caffe* multi-node allows you to execute deep neural network training on multiple machines.
@@ -73,4 +43,34 @@ Please cite Caffe in your publications if it helps your research:
  *Other names and brands may be claimed as the property of others
 
 
+# SSD: Single Shot MultiBox Detector
+This repository contains merged code issued as pull request to BVLC caffe written by:
+[Wei Liu](http://www.cs.unc.edu/~wliu/), [Dragomir Anguelov](https://www.linkedin.com/in/dragomiranguelov), [Dumitru Erhan](http://research.google.com/pubs/DumitruErhan.html), [Christian Szegedy](http://research.google.com/pubs/ChristianSzegedy.html), [Scott Reed](http://www-personal.umich.edu/~reedscot/), [Cheng-Yang Fu](http://www.cs.unc.edu/~cyfu/), [Alexander C. Berg](http://acberg.com).
+
+Original branch can be found at https://github.com/weiliu89/caffe/tree/ssd.
+
+Read our [wiki page](https://github.com/intel/caffe/wiki/SSD:-Single-Shot-MultiBox-Detector) for more details.
+
+# Caffe
+[![Build Status](https://travis-ci.org/BVLC/caffe.svg?branch=master)](https://travis-ci.org/BVLC/caffe)
+[![License](https://img.shields.io/badge/license-BSD-blue.svg)](LICENSE)
+Caffe is a deep learning framework made with expression, speed, and modularity in mind.
+It is developed by the Berkeley Vision and Learning Center ([BVLC](http://bvlc.eecs.berkeley.edu)) and community contributors.
+
+
+Check out the [project site](http://caffe.berkeleyvision.org) for all the details like
+- [DIY Deep Learning for Vision with Caffe](https://docs.google.com/presentation/d/1UeKXVgRvvxg9OUdh_UiC5G71UMscNPlvArsWER41PsU/edit#slide=id.p)
+- [Tutorial Documentation](http://caffe.berkeleyvision.org/tutorial/)
+- [BVLC reference models](http://caffe.berkeleyvision.org/model_zoo.html) and the [community model zoo](https://github.com/BVLC/caffe/wiki/Model-Zoo)
+- [Installation instructions](https://github.com/intel/caffe/wiki/Installation)
+
+and step-by-step examples.
+
+[![Join the chat at https://gitter.im/BVLC/caffe](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/BVLC/caffe?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
+
+Please join the [caffe-users group](https://groups.google.com/forum/#!forum/caffe-users) or [gitter chat](https://gitter.im/BVLC/caffe) to ask questions and talk about methods and models.
+Framework development discussions and thorough bug reports are collected on [Issues](https://github.com/BVLC/caffe/issues).
+
+Happy brewing!
+