（1）jupyter-notebook中kernal died并在终端中显示：Intel MKL FATAL ERROR: Cannot load libmkl_avx2.so or libmkl_def.so.
解决方法：conda install mkl
（2）出现ImportError: No module named 'keras.backend'
解决方法：pip3.5 uninstall keras
重装：pip3.5 install --upgrade keras
（3）pycharm中出现：cuda程序执行出错: libcudart.so.8.0: cannot open shared object file: No such file or directory
解决方法：
export PATH=$PATH:/usr/local/cuda-8.0/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-8.0/lib64
export LIBRARY_PATH=$LIBRARY_PATH:/usr/local/cuda-8.0/lib64
source /etc/profile使配置文件生效，再次执行。
若仍提示相同的错误，则执行以下命令，将相应的库文件复制到/usr/lib
sudo cp /usr/local/cuda-8.0/lib64/libcudart.so.8.0 /usr/local/lib/libcudart.so.8.0 && sudo ldconfig
sudo cp /usr/local/cuda-8.0/lib64/libcublas.so.8.0 /usr/local/lib/libcublas.so.8.0 && sudo ldconfig
sudo cp /usr/local/cuda-8.0/lib64/libcurand.so.8.0 /usr/local/lib/libcurand.so.8.0 && sudo ldconfig
ps. ldconfig命令是一个动态链接库管理命令，是为了让动态链接库为系统共享（4）在上述中每次出现libcudart.so.8.0: cannot open shared object file: No such file or directory
解决方法：
sudo gedit ~/.bashrc然后在末尾加入如下：（一定要source）
export PATH=$PATH:/usr/local/cuda-8.0/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-8.0/lib64
export LIBRARY_PATH=$LIBRARY_PATH:/usr/local/cuda-8.0/lib64
source /etc/profile（5）python中的six包出现如下的错误：AttributeError: type object ‘NewBase’ has no attribute ‘is_abstract’
解决方案：
sudo pip3 uinstall six
sudo easy_install3 -U six可解决。