restore old data transformation parameters for compatibility
compact net parameter upgrade
upgrade net parameter data transformation fields automagically

Convert DataParameter and ImageDataParameter data transformation fields
into a TransformationParameter.
upgrade model definitions for transformation params
Merge pull request #963 from shelhamer/fix-transform-param

Make data transformations backwards-compatible and upgrade models
fix parameter for transformation in ImageDataLayer constructor
move {InnerProduct,Eltwise}Layer to common instead of vision
fix internal thread interface confusion

thanks @ronghanghu for pointing this out in #964
[example] add fully-convolutional efficiency note + confidence map

- spell out fully-convolutional efficiency
- add confidence map
- fix input size: 451 x 451 is correct for an 8 x 8 output map by the
  equation input size = 227 + 32(d-1) for output map dimension of d
fix bug for resizing images.
Merge pull request #976 from alfredtofu/dev

fix image resizing dimensions for IO
'caffe test' prints all scores and their names
Merge pull request #979 from jeffdonahue/caffe-test-output

'caffe test' computes and prints all scores and their names
fix memory_used_ by computing after SetUp
Merge pull request #980 from jeffdonahue/fix-memory-used

fix memory_used_ by computing after SetUp
Add "stable_prod_grad" option (on by default) to ELTWISE layer to
compute the eltwise product gradient using a slower but stabler formula.
remove warning about LRN layers in CPU mode
Merge pull request #981 from jeffdonahue/fix-eltwise-product

Make eltwise product gradient stabler (fixes issues with WITHIN_CHANNEL LRN in cifar_full example)
FIX web_demo upload was not processing grayscale correctly
FIX drop obsolete CURAND reset for CUDA 6.5 compatibility

Drop the legacy CURAND initialization steps; these are unnecessary and
cause dramatic slowdowns for CUDA 6.5. This does no harm for K20 usage
counter to the note at least for CUDA 6.5 and 5.0.