prequsite:

sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler
sudo apt-get install --no-install-recommends libboost-all-dev

sudo apt-get install -y libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libboost-all-dev libhdf5-serial-dev protobuf-compiler gcc-4.6 g++-4.6 gcc-4.6-multilib g++-4.6-multilib gfortran libjpeg62 libfreeimage-dev libatlas-base-dev git python-dev python-pip

sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev

pycaffe

for req in $(cat requirements.txt); do pip install $req; done

sudo gedit /etc/profile

在文件里加入

export PYTHONPATH=~/caffe/python:$PYTHONPATH

使得文件生效

source /etc/profile

make

For cuDNN acceleration using NVIDIA’s proprietary cuDNN software, uncomment the USE_CUDNN := 1 switch in Makefile.config. cuDNN is sometimes but not always faster than Caffe’s GPU acceleration.

cp Makefile.config.example Makefile.config
# Adjust Makefile.config (for example, if using Anaconda Python, or if cuDNN is desired)
make all
make test
make runtest
make pycaffe

运行minist demo

转到 Caffe 目录下

sh data/mnist/get_mnist.sh

sh examples/mnist/create_mnist.sh

sh examples/mnist/train_lenet.sh

如果运行正常，caffe就可以正常工作了。