Environment Setup
Check Python library version
Python library authors put the version number in <module>.__version__
install Python package from "requirements.txt"
requirements.txt
Anaconda
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
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?
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