1.下載並安裝Anaconda
1.1 下載
從Anaconda官網（https://www.continuum.io/downloads）上下載Linux版本
https://repo.continuum.io/archive/（推薦python3.5）
https://mirrors.tuna.tsinghua.edu.cn/tensorflow/linux/cpu/（清華大學開源軟件鏡像站）
1.2 安裝
cd ~/Downloads(切換路徑)
這里是以Anaconda2-5.0.1-Linux-x86_64.sh為例，Anaconda3同理
bash Anaconda2-5.0.1-Linux-x86_64.sh （這里下載了Python2.7的對應版本）
Welcome to Anaconda2 5.0.0.1 In order to continue the installation process, please review the license agreement. Please, press ENTER to continue >>> =================================== Anaconda End User License Agreement =================================== Copyright 2015, Anaconda, Inc. All rights reserved under the 3-clause BSD License: Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, th is list of conditions and the following disclaimer in the documentation and/or o ther materials provided with the distribution. * Neither the name of Continuum Analytics, Inc. (dba Anaconda, Inc.) ("Continu um") nor the names of its contributors may be used to endorse or promote product s derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WA RRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL CONTINUUM BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPE CIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUR EMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINES S INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRA CT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Notice of Third Party Software Licenses ======================================= Anaconda contains open source software packages from third parties. These are av ailable on an "as is" basis and subject to their individual license agreements. These licenses are available in Anaconda or at https://docs.anaconda.com/anacond a/packages/pkg-docs . Any binary packages of these third party tools you obtain via Anaconda are subject to their individual licenses as well as the Anaconda li cense. Continuum reserves the right to change which third party tools are provid ed in Anaconda. In particular, Anaconda contains re-distributable, run-time, shared-library file s from the Intel(TM) Math Kernel Library ("MKL binaries"). You are specifically authorized to use the MKL binaries with your installation of Anaconda. You are a lso authorized to redistribute the MKL binaries with Anaconda or in the conda pa ckage that contains them. Use and redistribution of the MKL binaries are subject to the licensing terms located at https://software.intel.com/en-us/license/inte l-simplified-software-license. If needed, instructions for removing the MKL bina ries after installation of Anaconda are available at http://www.anaconda.com. Anaconda also contains cuDNN software binaries from NVIDIA Corporation ("cuDNN b inaries"). You are specifically authorized to use the cuDNN binaries with your i nstallation of Anaconda. You are also authorized to redistribute the cuDNN binar ies with an Anaconda package that contains them. If needed, instructions for rem oving the cuDNN binaries after installation of Anaconda are available at http:// www.anaconda.com. Cryptography Notice =================== This distribution includes cryptographic software. The country in which you curr ently reside may have restrictions on the import, possession, use, and/or re-exp ort to another country, of encryption software. BEFORE using any encryption soft ware, please check your country's laws, regulations and policies concerning the import, possession, or use, and re-export of encryption software, to see if this is permitted. See the Wassenaar Arrangement <http://www.wassenaar.org/> for mor e information. Continuum has self-classified this software as Export Commodity Control Number ( ECCN) 5D002.C.1, which includes information security software using or performin g cryptographic functions with asymmetric algorithms. The form and manner of thi s distribution makes it eligible for export under the License Exception ENC Tech nology Software Unrestricted (TSU) exception (see the BIS Export Administration Regulations, Section 740.13) for both object code and source code. In addition, the Intel(TM) Math Kernel Library contained in Continuum's software is classifie d by Intel(TM) as ECCN 5D992b with no license required for export to non-embargo ed countries. The following packages are included in this distribution that relate to cryptogr aphy: openssl The OpenSSL Project is a collaborative effort to develop a robust, commercia l-grade, full-featured, and Open Source toolkit implementing the Transport Layer Security (TLS) and Secure Sockets Layer (SSL) protocols as well as a full-stren gth general purpose cryptography library. pycrypto A collection of both secure hash functions (such as SHA256 and RIPEMD160), a nd various encryption algorithms (AES, DES, RSA, ElGamal, etc.). pyopenssl A thin Python wrapper around (a subset of) the OpenSSL library. kerberos (krb5, non-Windows platforms) A network authentication protocol designed to provide strong authentication for client/server applications by using secret-key cryptography. cryptography A Python library which exposes cryptographic recipes and primitives. Do you accept the license terms? [yes|no] [no] >>> Please answer 'yes' or 'no':' >>> yes Anaconda2 will now be installed into this location: /home/shawnee/anaconda2 - Press ENTER to confirm the location - Press CTRL-C to abort the installation - Or specify a different location below [/home/shawnee/anaconda2] >>> PREFIX=/home/shawnee/anaconda2 installing: python-2.7.13-heccc3f1_16 ... Python 2.7.13 :: Anaconda, Inc. installing: ca-certificates-2017.08.26-h1d4fec5_0 ... installing: conda-env-2.6.0-h36134e3_1 ... installing: intel-openmp-2018.0.0-h15fc484_7 ... installing: libgcc-ng-7.2.0-hcbc56d2_1 ... installing: libgfortran-ng-7.2.0-h6fcbd8e_1 ... installing: libstdcxx-ng-7.2.0-h24385c6_1 ... installing: expat-2.2.4-hc00ebd1_1 ... installing: gmp-6.1.2-hb3b607b_0 ... installing: graphite2-1.3.10-hc526e54_0 ... installing: icu-58.2-h211956c_0 ... installing: jbig-2.1-hdba287a_0 ... installing: jpeg-9b-habf39ab_1 ... installing: libffi-3.2.1-h4deb6c0_3 ... installing: libsodium-1.0.13-h31c71d8_2 ... installing: libssh2-1.8.0-h8c220ad_2 ... installing: libtool-2.4.6-hd50d1a6_0 ... installing: libxcb-1.12-he6ee5dd_2 ... installing: lzo-2.10-hc0eb8fc_0 ... installing: mkl-2018.0.0-hb491cac_4 ... installing: ncurses-6.0-h06874d7_1 ... installing: openssl-1.0.2l-h9d1a558_3 ... installing: patchelf-0.9-hf79760b_2 ... installing: pcre-8.41-hc71a17e_0 ... installing: pixman-0.34.0-ha72d70b_1 ... installing: tk-8.6.7-h5979e9b_1 ... installing: unixodbc-2.3.4-hc36303a_1 ... installing: xz-5.2.3-h2bcbf08_1 ... installing: yaml-0.1.7-h96e3832_1 ... installing: zlib-1.2.11-hfbfcf68_1 ... installing: curl-7.55.1-hcb0b314_2 ... installing: glib-2.53.6-hc861d11_1 ... installing: hdf5-1.10.1-hb0523eb_0 ... installing: libedit-3.1-heed3624_0 ... installing: libpng-1.6.32-hda9c8bc_2 ... installing: libtiff-4.0.8-h90200ff_9 ... installing: libxml2-2.9.4-h6b072ca_5 ... installing: mpfr-3.1.5-h12ff648_1 ... installing: pandoc-1.19.2.1-hea2e7c5_1 ... installing: readline-7.0-hac23ff0_3 ... installing: zeromq-4.2.2-hb0b69da_1 ... installing: dbus-1.10.22-h3b5a359_0 ... installing: freetype-2.8-h52ed37b_0 ... installing: gstreamer-1.12.2-h4f93127_0 ... installing: libxslt-1.1.29-hcf9102b_5 ... installing: mpc-1.0.3-hf803216_4 ... installing: sqlite-3.20.1-h6d8b0f3_1 ... installing: fontconfig-2.12.4-h88586e7_1 ... installing: gst-plugins-base-1.12.2-he3457e5_0 ... 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ipython-5.4.1-py27h36c99b6_1 ... installing: nbconvert-5.3.1-py27he041f76_0 ... installing: pylint-1.7.2-py27h77e98c6_0 ... installing: seaborn-0.8.0-py27h9d2aaa1_0 ... installing: urllib3-1.22-py27ha55213b_0 ... installing: ipykernel-4.6.1-py27hc93e584_0 ... installing: requests-2.18.4-py27hc5b0589_1 ... installing: anaconda-client-1.6.5-py27hc8169bf_0 ... installing: bokeh-0.12.7-py27he0197c9_1 ... installing: conda-4.3.27-py27hff99c7a_0 ... installing: jupyter_console-5.2.0-py27hc6bee7e_1 ... installing: notebook-5.0.0-py27h3661c2b_2 ... installing: qtconsole-4.3.1-py27hc444b0d_0 ... installing: sphinx-1.6.3-py27hf9b1778_0 ... installing: anaconda-project-0.8.0-py27hd7a9a97_0 ... installing: conda-build-3.0.23-py27h7bd6724_0 ... installing: dask-0.15.2-py27h7693082_0 ... installing: jupyterlab_launcher-0.4.0-py27h0e16d15_0 ... installing: numpydoc-0.7.0-py27h9647a75_0 ... installing: widgetsnbextension-3.0.2-py27hcb77dec_1 ... installing: anaconda-navigator-1.6.8-py27h2ea4365_0 ... installing: ipywidgets-7.0.0-py27h4fda95d_0 ... installing: jupyterlab-0.27.0-py27h42ebfef_2 ... installing: odo-0.5.1-py27h9170de3_0 ... installing: scikit-image-0.13.0-py27h06cb35d_1 ... installing: spyder-3.2.3-py27hbf281d3_1 ... installing: _ipyw_jlab_nb_ext_conf-0.1.0-py27h08a7f0c_0 ... installing: blaze-0.11.3-py27h5f341da_0 ... installing: jupyter-1.0.0-py27h505fd4b_0 ... installing: anaconda-5.0.0.1-py27h1e3bc52_1 ... installation finished. Do you wish the installer to prepend the Anaconda2 install location to PATH in your /home/shawnee/.bashrc ? [yes|no] [no] >>> yes Appending source /home/shawnee/anaconda2/bin/activate to /home/shawnee/.bashrc A backup will be made to: /home/shawnee/.bashrc-anaconda2.bak For this change to become active, you have to open a new terminal. Thank you for installing Anaconda2!
一路選擇 enter回車 或 輸入yes!
這時在終端輸入python顯示的linux的發行版本，輸入conda顯示命令未知：
緊接着去配置Anaconda2的環境變量：
export PATH=/home/shawnee/anaconda2/bin:$PATH （加粗斜體部分需自行替換）
這時再次輸入python:
輸入conda:
也可查詢conda信息：
到此 anaconda2 安裝完成。
2.安裝tensorflow
2.1 建立tensorflow運行環境
# Python 2.7
$ conda create -n tensorflow python=2.7
# Python 3.4
$ conda create -n tensorflow python=3.4
# Python 3.5
$ conda create -n tensorflow python=3.5
2.2 在conda環境下安裝tensorflow（conda安裝方式只有CPU版本）
2.2.1 激活conda環境
$ source activate tensorflow
2.2.2 然后調用conda install 語句安裝
# Linux/Mac OS X, Python 2.7/3.4/3.5, CPU only:
(tensorflow)$ conda install -c conda-forge tensorflow
2.2.3 上面的步驟完成后，從conda環境中退出
(tensorflow)$ source deactivate
2.3 測試安裝是否成功
首先激活 tensorflow 環境，然后進入 python，最后導入 tensorflow 庫。如果導入成功則表明安裝成功。
當使用完畢后，關閉 tensorflow 環境。
當你需要再次使用的時候就必須再次激活 tensorflow 環境。
source activate tensorflow
......
......
關閉tensorflow環境，並重新激活
3.安裝Spyder和Pycharm
3.1 Spyder
為了使用spyder，需要在tensorflow環境下安裝spyder：
shawnee@ubuntu:~/anaconda2$ source activate tensorflow (tensorflow) shawnee@ubuntu:~/anaconda2$ conda install -n tensorflow spyder Fetching package metadata ........... Solving package specifications: . Package plan for installation in environment /home/shawnee/anaconda2/envs/tensorflow: The following NEW packages will be INSTALLED:
安裝成功之后在tensorflow環境下運行spyder即可：
如果不在tensorflow環境下安裝spyder，直接運行spyder時打開的可能不是tensorflow對應的python內核。
(tensorflow) shawnee@ubuntu:~/anaconda2$ source deactivate
shawnee@ubuntu:~/anaconda2$ source activate tensorflow
3.2 PyCharm
pycharm是目前使用最多的python IDE，界面簡潔美觀，安裝簡單.
下載pycharm
從官網（http://www.jetbrains.com/pycharm/download/#section=linux）下載Community版 for Linux。並將下載好的文件copy到想安裝的目錄下（我的為/home/shawnee/pycharm）。
安裝pycharm
1）cd 到安裝目錄
cd home/shawnee/pycharm
2）解壓縮（可手動解壓縮）
tar xfz pycharm-community-2017.3.3.tar.gz
3）打開 pycharm.sh 文件所在目錄
cd pycharm-community-2017.3.3/bin
4）安裝
./pycharm.sh
接下來按照安裝提示一步步繼續就可以了。安裝之后可通過charm命令打開。
參考博客：
http://blog.csdn.net/zzc15806/article/details/73662491（Ubuntu16.04下安裝tensorflow（Anaconda3+pycharm+tensorflow+CPU））
https://www.cnblogs.com/zlslch/p/7975791.html(內含conda: command not found問題解決方法和pip方式安裝tensorflow詳細介紹)
https://www.cnblogs.com/Osler/p/7687170.html（內含安裝spyder）