Environment Setup
Check Python library version
Python library authors put the version number in <module>.__version__
python -c 'import keras; print(keras.__version__)'install Python package from "requirements.txt"
pip install -r requirements.txtrequirements.txt
BeautifulSoup
Django==1.3
Fabric==1.2.0
Jinja2==2.5.5
PyYAML==3.09
Pygments==1.4
SQLAlchemy==0.7.1
South==0.7.3
amqplib==0.6.1
anyjson==0.3
...Anaconda
https://www.anaconda.com/download/
Create Anaconda Virtural Environment
conda create --name tensorflow python=3.5 anaconda
Command
Description
--name tensorflow
Virtual Environment Name is "tensorflow"
python=3.5
Python version is "3.5"
anaconda
Install Python library (e.g. Jupyter Notebook, NumPy ...)
Upgrade pip
python -m pip install --upgrade pip
Uninstall
存與依據環境檔創建環境
想像在一台電腦以conda建立了一個環境開發某專案，如何讓程式在其他人的電腦上有一樣的環境能重現並開發該專案呢？這時只要使用conda env export > environment.yaml記錄下環境的相關資訊檔environment.yaml，將它放到另一台電腦上然後以conda env create -f environment.yaml載入並建立該環境，如此一來就能在另一台電腦重現了環境並開發該專案了。
儲存環境
conda env export > environment.yaml依據環境檔創建環境
conda env create -f environment.yaml
Fixing Jupyter notebook kernel error
or
Tensorflow
Installation
check version
Keras
Installation
Alternate Installation
Change Keras backend
C:\Users\Ryan\AppData\Local\conda\conda\envs\tensorflow\etc\conda\activate.d\keras_activate.bat
https://github.com/ContinuumIO/anaconda-issues/issues/1735
CUDA on ML machines
Install CUDA on Linux-based ML machines
One Liner Install
Hardware Requirement
如何配置一台适用于深度学习的工作站？
https://www.zhihu.com/question/33996159
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