一、安装TensorFlow

1.设置清华源：https://mirror.tuna.tsinghua.edu.cn/help/anaconda/

2.Anaconda?propt中创建虚拟环境：
???????#?先用Notepad?编辑tensorflow2.0.0.yml文件

文件内容为如下，没有文件可以打开记事本自行输入保存一下：（保存为tensorflow2.0.0.yml）

name: tf2
channels:
? - defaults
dependencies:
? - _tflow_select=2.2.0=eigen
? - absl-py=0.15.0=pyhd3eb1b0_0
? - aiohttp=3.7.4.post0=py36h2bbff1b_2
? - astor=0.8.1=py36haa95532_0
? - async-timeout=3.0.1=py36haa95532_0
? - attrs=21.4.0=pyhd3eb1b0_0
? - backcall=0.2.0=pyhd3eb1b0_0
? - blas=1.0=mkl
? - blinker=1.4=py36haa95532_0
? - brotlipy=0.7.0=py36h2bbff1b_1003
? - ca-certificates=2022.3.29=haa95532_0
? - cachetools=4.2.2=pyhd3eb1b0_0
? - certifi=2021.5.30=py36haa95532_0
? - cffi=1.14.6=py36h2bbff1b_0
? - chardet=4.0.0=py36haa95532_1003
? - charset-normalizer=2.0.4=pyhd3eb1b0_0
? - click=8.0.3=pyhd3eb1b0_0
? - colorama=0.4.4=pyhd3eb1b0_0
? - cryptography=3.4.7=py36h71e12ea_0
? - cycler=0.11.0=pyhd3eb1b0_0
? - decorator=5.1.1=pyhd3eb1b0_0
? - entrypoints=0.3=py36_0
? - freetype=2.10.4=hd328e21_0
? - gast=0.2.2=py36_0
? - google-auth-oauthlib=0.4.4=pyhd3eb1b0_0
? - google-pasta=0.2.0=pyhd3eb1b0_0
? - grpcio=1.35.0=py36hc60d5dd_0
? - h5py=2.10.0=py36h5e291fa_0
? - hdf5=1.10.4=h7ebc959_0
? - icc_rt=2019.0.0=h0cc432a_1
? - icu=58.2=ha925a31_3
? - idna=3.3=pyhd3eb1b0_0
? - idna_ssl=1.1.0=py36haa95532_0
? - importlib-metadata=4.8.1=py36haa95532_0
? - intel-openmp=2022.0.0=haa95532_3663
? - ipykernel=5.3.4=py36h5ca1d4c_0
? - ipython=7.16.1=py36h5ca1d4c_0
? - ipython_genutils=0.2.0=pyhd3eb1b0_1
? - jedi=0.17.0=py36_0
? - joblib=1.0.1=pyhd3eb1b0_0
? - jpeg=9d=h2bbff1b_0
? - jupyter_client=7.1.2=pyhd3eb1b0_0
? - jupyter_core=4.8.1=py36haa95532_0
? - keras-applications=1.0.8=py_1
? - keras-preprocessing=1.1.2=pyhd3eb1b0_0
? - kiwisolver=1.3.1=py36hd77b12b_0
? - libpng=1.6.37=h2a8f88b_0
? - libprotobuf=3.17.2=h23ce68f_1
? - libtiff=4.2.0=hd0e1b90_0
? - lz4-c=1.9.3=h2bbff1b_1
? - markdown=3.3.4=py36haa95532_0
? - matplotlib=3.3.4=py36haa95532_0
? - matplotlib-base=3.3.4=py36h49ac443_0
? - mkl=2020.2=256
? - mkl-service=2.3.0=py36h196d8e1_0
? - mkl_fft=1.3.0=py36h46781fe_0
? - mkl_random=1.1.1=py36h47e9c7a_0
? - multidict=5.1.0=py36h2bbff1b_2
? - nest-asyncio=1.5.1=pyhd3eb1b0_0
? - numpy=1.19.2=py36hadc3359_0
? - numpy-base=1.19.2=py36ha3acd2a_0
? - oauthlib=3.2.0=pyhd3eb1b0_0
? - olefile=0.46=py36_0
? - openssl=1.1.1n=h2bbff1b_0
? - opt_einsum=3.3.0=pyhd3eb1b0_1
? - pandas=1.1.5=py36hd77b12b_0
? - parso=0.8.3=pyhd3eb1b0_0
? - pickleshare=0.7.5=pyhd3eb1b0_1003
? - pillow=8.3.1=py36h4fa10fc_0
? - pip=21.2.2=py36haa95532_0
? - prompt-toolkit=3.0.20=pyhd3eb1b0_0
? - protobuf=3.17.2=py36hd77b12b_0
? - pyasn1=0.4.8=pyhd3eb1b0_0
? - pyasn1-modules=0.2.8=py_0
? - pycparser=2.21=pyhd3eb1b0_0
? - pygments=2.11.2=pyhd3eb1b0_0
? - pyjwt=2.1.0=py36haa95532_0
? - pyopenssl=21.0.0=pyhd3eb1b0_1
? - pyparsing=3.0.4=pyhd3eb1b0_0
? - pyqt=5.9.2=py36h6538335_2
? - pyreadline=2.1=py36_1
? - pysocks=1.7.1=py36haa95532_0
? - python=3.6.5=h0c2934d_0
? - python-dateutil=2.8.2=pyhd3eb1b0_0
? - pytz=2021.3=pyhd3eb1b0_0
? - pywin32=228=py36hbaba5e8_1
? - pyzmq=22.2.1=py36hd77b12b_1
? - qt=5.9.7=vc14h73c81de_0
? - requests=2.27.1=pyhd3eb1b0_0
? - requests-oauthlib=1.3.0=py_0
? - rsa=4.7.2=pyhd3eb1b0_1
? - scikit-learn=0.24.1=py36hf11a4ad_0
? - scipy=1.5.2=py36h9439919_0
? - seaborn=0.11.2=pyhd3eb1b0_0
? - setuptools=58.0.4=py36haa95532_0
? - sip=4.19.8=py36h6538335_0
? - six=1.16.0=pyhd3eb1b0_1
? - sqlite=3.38.2=h2bbff1b_0
? - tensorboard=2.4.0=pyhc547734_0
? - tensorboard-plugin-wit=1.6.0=py_0
? - tensorflow=2.0.0=eigen_py36h457aea3_0
? - tensorflow-base=2.0.0=eigen_py36h01553b8_0
? - tensorflow-estimator=2.0.0=pyh2649769_0
? - termcolor=1.1.0=py36haa95532_1
? - threadpoolctl=2.2.0=pyh0d69192_0
? - tk=8.6.11=h2bbff1b_0
? - tornado=6.1=py36h2bbff1b_0
? - traitlets=4.3.3=py36haa95532_0
? - typing-extensions=4.1.1=hd3eb1b0_0
? - typing_extensions=4.1.1=pyh06a4308_0
? - urllib3=1.26.8=pyhd3eb1b0_0
? - vc=14.2=h21ff451_1
? - vs2015_runtime=14.27.29016=h5e58377_2
? - wcwidth=0.2.5=pyhd3eb1b0_0
? - werkzeug=0.16.1=py_0
? - wheel=0.37.1=pyhd3eb1b0_0
? - win_inet_pton=1.1.0=py36haa95532_0
? - wincertstore=0.2=py36h7fe50ca_0
? - wrapt=1.12.1=py36he774522_1
? - xz=5.2.5=h62dcd97_0
? - yarl=1.6.3=py36h2bbff1b_0
? - zipp=3.6.0=pyhd3eb1b0_0
# ?- zlib=1.2.12=h8cc25b3_0
? - zstd=1.4.9=h19a0ad4_0
? - pip:
? ? - google-auth==1.35.0
prefix: C:\Users\86157\anaconda3\envs\tf2

修改文件中最后一行

prefix: C:\Users\86157\anaconda3\envs\tf2? ? ? 为prefix:?你指定的虚拟环境的路径?

打开anaconda?prompt?输入命令：

conda?env?create?-f?tensorflow2.0.0.yml?-n?tf2

注意：-f后为TensorFlow2.0.0.yml文件的完整文件路径

环境创建好后进行激活，进入tf2虚拟环境

命令：conda?activate?tf2

3.????进入tf2虚拟环境执行如下安装：

???????#?为不同的虚拟环境设置

conda?install?ipykernel?????????

???????#?运行如下命令使?jupyter?notebook?能够识别到环境
???????python?-m?ipykernel?install?--user?--name?tf2?--display-name?"tf2"

???????注：?tf2为当前虚拟环境名称???"tf2"为jupyter?notebook中显示的内核名称

?到此，安装完成。启动jupyter?notebook

二、问题：tf2连接服务器连接不到的问题?

?jupyter?启动提示This?event?loop?is?already?running?

解决办法：

conda?activate?tf2???#?切换到tf2虚拟环境
conda?list??#?查看一下自己?ipykernel?为4.6.1，由于版本问题造成不匹配无法连接
pip?install?--ignore-installed?ipykernel?--upgrade?????#?进行强制更新

?更新完成，此时可能会出现报错：ERROR:?pip's?dependency?resolver?does?not?currently?take?into?account?all?the?packages?that?are?installed.?This?behaviour?is?the?source?of?the?following?dependency?conflicts.
tensorflow?2.0.0?requires?tensorboard<2.1.0,>=2.0.0,?but?you?have?tensorboard?2.4.0?which?is?incompatible.