Back-merge documentation and fixes

docs/index.md

@@ -96,4 +96,4 @@ All development discussion should be carried out at [GitHub Issues](https://gith
 If you have a proposal that may not be suited for public discussion *and an ability to act on it*, please email us [directly](mailto:caffe-dev@googlegroups.com).
 Requests for features, explanations, or personal help will be ignored; post such matters publicly as issues.
 
-Some developers may be able to provide [consulting services](mailto:caffe-coldpress@googlegroups.com) for appropriate projects.
+The core Caffe developers may be able to provide [consulting services](mailto:caffe-coldpress@googlegroups.com) for appropriate projects.

examples/imagenet/readme.md

@@ -41,7 +41,8 @@ You may want to resize the images to 256x256 in advance. By default, we do not e
 
 Go to `$CAFFE_ROOT/examples/imagenet/` for the rest of this guide.
 
-Take a look at `create_imagenet.sh`. Set the paths to the train and val dirs as needed, and set "RESIZE=true" to resize all images to 256x256 if you haven't resized the images in advance. Now simply create the leveldbs with `./create_imagenet.sh`. Note that `ilsvrc12_train_leveldb` and `ilsvrc12_val_leveldb` should not exist before this execution. It will be created by the script. `GLOG_logtostderr=1` simply dumps more information for you to inspect, and you can safely ignore it.
+Take a look at `create_imagenet.sh`. Set the paths to the train and val dirs as needed, and set "RESIZE=true" to resize all images to 256x256 if you haven't resized the images in advance.
+Now simply create the leveldbs with `./create_imagenet.sh`. Note that `ilsvrc12_train_leveldb` and `ilsvrc12_val_leveldb` should not exist before this execution. It will be created by the script. `GLOG_logtostderr=1` simply dumps more information for you to inspect, and you can safely ignore it.
 
 Compute Image Mean
 ------------------

tools/extra/plot_log.gnuplot.example

@@ -5,7 +5,7 @@
 # You had better check the data files before designing your own plots.
 
 # Please generate the neccessary data files with 
-# /path/to/caffe/scripts/parse_log.sh before plotting.
+# /path/to/caffe/tools/extra/parse_log.sh before plotting.
 # Example usage: 
 #     ./parse_log.sh mnist.log
 # Now you have mnist.log.train and mnist.log.test.