Forked from https://www.github.com/BVLC/caffe master branch in 2015/6/5
Added Batch Normalization, Parametric ReLU, Locally Connected Layer, Normalize Layer.
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Download third-party libraries from http://pan.baidu.com/s/1sjE5ER7 , and put the 3rdparty folder under the root of caffe-windows.
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Run ./src/caffe/proto/extract_proto.bat to create caffe.pb.h, caffe.pb.cc and caffe_pb2.py.
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Double click ./build/MSVC/MainBuilder.sln to open the solution in Visual Studio 2012 (only VS2012 supported).
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Change the compile mode to Release and X64.
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Change the CUDA include and library path to your own ones.
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Compile.
TIPS: If you have MKL library, please add the preprocess macro "USE_MKL" defined in the setting of the project.
中文安装说明：http://blog.csdn.net/happynear/article/details/45372231
Just change the Matlab include and library path defined in the settings and compile. Don't forget to add ./matlab to your Matlab path.
Similar with Matlab, just change the python include and library path defined in the settings and compile.
Use Python 2.7
Please download the mnist leveldb database from http://pan.baidu.com/s/1mgl9ndu and extract it to ./examples/mnist. Then double click ./run_mnist.bat to run the MNIST demo.