Tensorflow入门笔记【一】环境
1、傻瓜式集成環境anaconda安裝
（1）WINDOWS環境下，只能使用python3.5(64bit)
（2）暫時推薦Anoconda3-4.2.0-windows-x86_64。目前我是基于該版本學習，其他版本沒有試過
https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Anaconda3-4.2.0-Windows-x86_64.exe
【延伸：清華大學開源軟件鏡像站 使用技巧（待補充）】
2、tensorflow庫安裝
2.1 使用conda 安裝tensorflow
（1）使用管理員權限，打開anaconda prompt
（2）執行conda install tensorflow。以下是正常安裝的提示
【注意：嘗試過其他anaconda版本下，執行2.1-（2）的命令會出現我暫時不理解的錯誤】
（3）【然而，最后還是因為網絡不好，所以沒能成功。】
2.2 使用清華鏡像源安裝tensorflow
（1）執行如下命令，給conda的配置文件添加鏡像源路徑：
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config?--add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
【注意】我的anaconda安裝在D盤（暫不清晰接下來描述的現象與此是否有關），執行命令后提示如下錯誤
顯然，配置文件的路徑為空。
錯誤提示缺乏.condarc這個文件。應該就是conda的config file了。
那么，自然的，去創建相應的目錄和文件后再運行
再次，運營上述命令，不再報錯。
（2）執行config --set show_channel_urls yes
（3）執行pip install -i https://pypi.tuna.tsinghua.edu.cn/simple tensorflow
【安裝成功。提示信息見最末尾附錄一】
3、測試tensorflow是否安裝成功
（1）打開Jupiter Notebook，看到如下命令行窗口彈出后，耐心等待（因設備性能差異，窗口彈出后可能會出現沒有任何打印信息的情況，我的設備目前是約15s左右，出現如下打印信息，就會彈出web應用）；
（2）Jupyter Notebook在瀏覽器打開，其默認文件存儲路徑為C盤【我的文檔】
（3）如下窗口所示，新建python[conda root]，文件中輸入“import tensorflow”后運行，如無提示錯誤，則安裝成功
【然而，因為我的系統沒有安裝visual studio相關環境插件，報如下錯誤】
ImportError: Could not find the DLL(s) 'msvcp140_1.dll'. TensorFlow requires that these DLLs be installed in a directory that is named in your %PATH% environment variable. You may install these DLLs by downloading "Microsoft C++ Redistributable for Visual Studio 2015, 2017 and 2019" ...
按錯誤提示，去“https://support.microsoft.com/zh-cn/help/2977003/the-latest-supported-visual-c-downloads”處下載相應的VS環境插件就好了。我是64位系統，所以選擇x64版本：
下載安裝后，按提示重啟電腦，即可解決問題。
【如有碰到其余問題，歡迎在評論區留言】
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【附錄一：使用清華鏡像下載tensorflow。有空再來研習所下載的每一個庫的作用】
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