Deep|tensorflow使用记录（一）安装 Deep|Learning

ubuntu16.0464-bit python3.5 virtualenv docker

ref: https://www.tensorflow.org/versions/r0.11/get_started/os_setup.html#virtualenv-installation
官网上有详细的安装流程，考虑到对现有python环境的影响，我准备用docker或virtualenv安装
virtualenv安装tensorflow

install pip and virtualenv
create a virtualenv environment
activate the virtualenv environment and install tensorflow in it
after the install you will activate the virtualenv environment each time you want to use tensorflow

$ sudo apt-get install python3-pip python3-dev python3-virtualenv $ virtualenv --system-site-packages ~/tensorflow $ source ~/tensorflow/bin/activate (tensorflow)$#your prompt should change 选择适合自己的安装包 # Ubuntu/Linux 64-bit, CPU only, Python 3.5 (tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc0-cp35-cp35m-linux_x86_64.whl #install tensorflow (tensorflow)$ pip3 install --upgrade $TF_BINARY_URL#test your installation (tensorflow)$ python3 >>> import tensorflow as tf >>> hello = tf.constant('Hello, TensorFlow!') >>> sess = tf.Session() >>> sess.run(hello) Hello, TensorFlow! >>> a = tf.constant(10) >>> b = tf.constant(32) >>> sess.run(a+b) 42 >>>exit()#结束使用tensorflow virtualenv (tensorflow)$ deactivate $#your prompt should change

Docker安装Tensorflow docker安装过程中一种pulling不下来镜像，待续…
用了后pulling下来了…
docker的安装和使用见docker使用记录

$ docker run -it -p 8888:8888 gcr.io/tensorflow/tensorflow

Tensorflow使用 Pycharm
【Deep|tensorflow使用记录（一）安装】在pycharm中可以在setting——>project interpretor中选择之前建立好的tensorflow virtualenv虚拟环境中的python3,这样就可以在pycharm中用啦