[TravisCI] build protobuf3 GA

updates tense in docs

fixes typo- duplicate "a a"

changes "c++" to "C++" for consistency

…ted caffe target

This is the first step towards "modern" IMPORTED-targets-only CMake
setup. The find_package modules still need to be rewritten and upstreamed in
form of config exports where possible.

Despite Caffe itself does not use OpenMP, explicitly linking to OpenMP
should be done when one statically links to a BLAS library which uses
OpenMP internally and does not provide proper CMake imported targets
with proper dependencies (nobody this so far).

Rationale: these are duplicated in CMakeLists code, and they cannot be
removed from there because many definitions need to be exported to the
library clients. See issue BVLC#4625.

Benchmarking should not impact perf until timer is read

A bias/scaling can be applied wherever desired by defining the
respective layers, and `ScaleLayer` can handle both as a memory
optimization.

Document that Ubuntu 16.04 Requires CUDA 8

batch norm statistics are not learnable parameters subject to solver
updates, so they must be shielded from the solver. `BatchNorm` layer now
masks its statistics for itself by zeroing parameter learning rates
instead of relying on the layer definition.

n.b. declaring `param`s for batch norm layers is no longer allowed.

automatically strip old batch norm layer definitions including `param`
messages. the batch norm layer used to require manually masking its
state from the solver by setting `param { lr_mult: 0 }` messages for
each of its statistics. this is now handled automatically by the layer.

[examples] Fixed typos in examples/cpp_classification/readme

Batch Norm: Further Documentation and Simplified Definition

fix layerSetUp of scale_layer to not add bias blob when already present

[TravisCI] google/protobuf renamed the 3.0 branch

simpler to read and update

dev has diffused into the community from the original Caffe core

Deprecate WindowData layer type

Test for python forward and backward with start and end layer

[docs] groom Caffe site

Docker update to cuDNN 6

Caffe 1.0

Explicit std::string to bp::object conversion

Handling destruction of empty Net objects

Rewrite crop layer GPU implementation

Downgrade boost requirement from 1.55 to 1.54

docs/debian guide: update compiler combination table

…o-library

cmake: rename libproto.a -> libcaffeproto.a

* 'master' of https://github.com/cepiross/caffe:
  Fix pyCaffe installation on Cmake for MacOS

# Conflicts:
#	python/CMakeLists.txt