踩坑记录如下：

首先安装anaconda，这个自然不必多说

 

然后创建python3.6环境

这里jupyternotebook踩坑如下，不要conda install jupyter，这样反正我是出了很多错，直接进navigator下

然后强制更新ipython和ipykernel 这里pip unistall ipykernel失败

强制更新

pip install --ignore-installed -U ipython

pip install --ignore-installed -U ipykernel

   

最后发现有asygenerator错误cannot import name ‘AsyncGenerator’

原因是prompt_toolkit这依赖的版本不匹配（我这使用的python 3.6）

解决办法就是降低版本
pip install --upgrade prompt-toolkit==2.0.1

最后，tensorflow报future错误

注意numpy下1.12

这里给出一个人的依赖，注意引用的包即可

name: deeplearn
channels:
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
- defaults
dependencies:
- bleach=1.5.0=py36_0
- certifi=2016.2.28=py36_0
- cycler=0.10.0=py36_0
- dbus=1.10.20=0
- decorator=4.1.2=py36_0
- entrypoints=0.2.3=py36_0
- expat=2.1.0=0
- fontconfig=2.12.1=3
- freetype=2.5.5=2
- glib=2.50.2=1
- gst-plugins-base=1.8.0=0
- gstreamer=1.8.0=0
- h5py=2.7.0=np112py36_0
- hdf5=1.8.17=2
- html5lib=0.9999999=py36_0
- icu=54.1=0
- ipykernel=4.6.1=py36_0
- ipython=6.1.0=py36_0
- ipython_genutils=0.2.0=py36_0
- ipywidgets=6.0.0=py36_0
- jbig=2.1=0
- jedi=0.10.2=py36_2
- jinja2=2.9.6=py36_0
- jpeg=8d=2
- jsonschema=2.6.0=py36_0
- jupyter=1.0.0=py36_3
- jupyter_client=5.1.0=py36_0
- jupyter_console=5.2.0=py36_0
- jupyter_core=4.3.0=py36_0
- libffi=3.2.1=1
- libgcc=5.2.0=0
- libgfortran=3.0.0=1
- libiconv=1.14=0
- libpng=1.6.30=1
- libsodium=1.0.10=0
- libtiff=4.0.6=2
- libxcb=1.12=1
- libxml2=2.9.4=0
- markupsafe=1.0=py36_0
- matplotlib=2.0.2=np112py36_0
- mistune=0.7.4=py36_0
- mkl=2017.0.3=0
- nbconvert=5.2.1=py36_0
- nbformat=4.4.0=py36_0
- notebook=5.0.0=py36_0
- numpy=1.12.1=py36_0
- olefile=0.44=py36_0
- opencv=3.1.0=np112py36_1
- openssl=1.0.2l=0
- pandas=0.20.3=py36_0
- pandocfilters=1.4.2=py36_0
- path.py=10.3.1=py36_0
- pcre=8.39=1
- pexpect=4.2.1=py36_0
- pickleshare=0.7.4=py36_0
- pillow=3.4.2=py36_0
- pip=9.0.1=py36_1
- prompt_toolkit=1.0.15=py36_0
- ptyprocess=0.5.2=py36_0
- pygments=2.2.0=py36_0
- pyparsing=2.2.0=py36_0
- pyqt=5.6.0=py36_2
- python=3.6.2=0
- python-dateutil=2.6.1=py36_0
- pytz=2017.2=py36_0
- pyzmq=16.0.2=py36_0
- qt=5.6.2=2
- qtconsole=4.3.1=py36_0
- readline=6.2=2
- scikit-learn=0.19.0=np112py36_0
- scipy=0.19.1=np112py36_0
- setuptools=36.4.0=py36_1
- simplegeneric=0.8.1=py36_1
- sip=4.18=py36_0
- six=1.10.0=py36_0
- sqlite=3.13.0=0
- terminado=0.6=py36_0
- testpath=0.3.1=py36_0
- tk=8.5.18=0
- tornado=4.5.2=py36_0
- traitlets=4.3.2=py36_0
- wcwidth=0.1.7=py36_0
- wheel=0.29.0=py36_0
- widgetsnbextension=3.0.2=py36_0
- xz=5.2.3=0
- zeromq=4.1.5=0
- zlib=1.2.11=0
- pip:
  - enum34==1.1.6
  - ipython-genutils==0.2.0
  - jupyter-client==5.1.0
  - jupyter-console==5.2.0
  - jupyter-core==4.3.0
  - keras==2.1.3
  - markdown==2.6.10
  - prompt-toolkit==1.0.15
  - protobuf==3.5.0.post1
  - pydot==1.2.4
  - pyyaml==3.12
  - tensorflow==1.4.1
  - tensorflow-tensorboard==0.4.0rc3
  - werkzeug==0.13
prefix: /home/ubuser/miniconda3/envs/deeplearn