众所周知,配置环境一直是个有点小麻烦的事儿,tensorlow分为gpu版本和cpu版本的,其中gpu版本的需要额外的cuda
和cudnn
,但是你要是不用gpu吧,又太慢了。上次实在linux下安装开发环境,这次我们在win10下安装tensorflow环境带gpu的版本,为了省事,我们用acaconda
进行快速安装。
按照官网的描述:
{% blockquote %} The open-source Anaconda Distribution is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and Mac OS X. With over 19 million users worldwide, it is the industry standard for developing, testing, and training on a single machine, enabling individual data scientists to: Quickly download 1,500+ Python/R data science packages Manage libraries, dependencies, and environments with Conda Develop and train machine learning and deep learning models with scikit-learn, TensorFlow, and Theano Analyze data with scalability and performance with Dask, NumPy, pandas, and Numba Visualize results with Matplotlib, Bokeh, Datashader, and Holoviews {% endblockquote %}
emm说白了就是一个python/r 的科学平台,可以很方便的帮你配置环境,管理各种包。