install tensorflow gpu

this post records the steps to install Keras and uses TensorFlow to do the backend. (The system used is Ubuntu, see detailed configuration information). #1 Create a virtual environment In order to keep the Python development environment tidy, virtual environments are essential. First create a virtual environment: Mkvirtualenv KERAS_TF #--python=python2.7 Specifies the python version used Workon KERAS_TF

What to note: Install TensorFlow on Ubuntu (version python2.7)Note Date: 2018-01-31 Install TensorFlow on Ubuntu (version python2.7)My system environment: Ubuntu 16.04 LTS Python 2.7 Python 3.5 Two versions of TensorFlow:The TensorFlow is mainly i

Comprehensive Guide: Install the Caffe2 translator with GPU support from source on Ubuntu 16.04:Originally from: https://tech.amikelive.com/node-706/ Comprehensive-guide-installing-caffe2-with-gpu-support-by-building-from-source-on-ubuntu-16-04/?tdsourcetag=s_ Pctim_aiomsg, have to say that the author's knowledge is rich, the research is more thorough, the enviro

build TensorFlow Http://bazel.io/docs/install.html Bazel Download Address: Https://github.com/bazelbuild/bazel/releases (bazel-0.2.2b-installer-linux-x86_64.sh) sudo apt-get install pkg-config zip G++zlib1g-dev unzip chmod +x bazel-version-installer-os.sh ./bazel-version-installer-os.sh--user Export path= "$PATH: $HOME/bin" Installation TensorFlow Other depend

Install theano and configure GPU in Win10, win10theano I. Software and Environment (1) installation date; (2) Raw Materials VS2013, cuda-8.0 (it is best to download cuda7.5, the current theano-0.8.2 for cuda-8 support is not very good), Anaconda3-4.2.0 (64-bit ); (3) The environment is win10. Ii. Installation Steps (1) install VS2013. There is nothing to say. Af

Reproduced in: http://blog.csdn.net/chenweiqian_zy/article/details/59109596 Installation of the 1.anaconda installation reference https://www.continuum.io/downloads/. For example, my installation command is: Bash anaconda2-4.3.0-linux-x86_64.sh 2. Install Jupyter Update: Conda Update Anaconda Installation: Conda Install Jupyter 3. Install

Installing Theano Configuring the GPU "Original" Liu_longpoReprint Please specify the source "CSDN" http://blog.csdn.net/llp1992Installing TheanoThis post is an experience and I hope to help those who have struggled with me.Already said, non-root users, so can not use sudo, only this series of trouble.To install Theano, you need some dependencies, and you can refer to

/#axzz46v2MC6l8,for https://developer.nvidia.com/cuda-downloads,( Note: This is the cuda-8 version, the current version of the Theano support is not very good, but does not affect the use, it is best to download cuda7.5, I don't bother to reload again, so I use the cuda-8)also be sure to remember the Cuda installation path, my path is C:\Program files\nvidia GPU Computing toolkit\cuda\v8.0, (3) Right-click My Computer -"Properties -" Advanced system s

Install the deep learning framework TensorFlow in Ubuntu I recently learned about TensorFlow, a new open-source deep learning framework for Google. It was found that python 2.7.x is needed when installing it; I have been using CentOS for Linux before. While CentOS is not updated, the built-in Python is usually less than python2.6. In addition, many components in

This weekend, I decided it is time:i is going to update my Python environment and get Keras and TensorFlow installed So I could the start doing tutorials (particularly for deep learning) using R. Although I used to is a systems administrator (about years ago), I don ' t do much installing or configuring so I guess T Hat ' s why I ' ve put the this task off for so long. And it wasn ' t unwarranted:it took me the whole weekend to get the

1The first thing to do is to turn on GPU acceleration to install CUDA. To install CUDA, first install Nvidia drive. Ubuntu has its own open source driver, first to disable Nouveau. Note here that the virtual machine cannot install Ubuntu drivers. VMware under the video card

This article introduces how to install theano and configure GPU in Win10 environment step 1. software and environment (1) installation date; (2) raw materials VS2013, cuda-8.0 (it is best to download cuda7.5, the current theano-0.8.2 for cuda-8 support is not very good), Anaconda3-4.2.0 (64-bit ); (3) the environment is win10. II. installation steps (1) install

Installing Anaconda3 A key step:conda install pip The following to install a variety of packages you need, generally no more error.pip install tensorflow-gpu ==1.5.0rc1pip install -U keras If you need to

to unload 2.4.12, with 2.4.12, or press this blog, compile, or not, well, combined with the http://blog.csdn.net/xuezhisdc/article/details/ 48691797 and http://blog.csdn.net/allyli0022/article/details/62859290 came, used:cmake_install_prefix=/usr/local-d with_cuda=on-d with_tbb=on-d build_new_python_support=on-d with_v4l=on-d INSTALL_ c_examples=on-d install_python_examples=on-d build_examples=on-d with_qt=on-d with_opengl=on-d enable_fast_math=1-d cuda_fast_math=1-d with_cublas=1-d cuda_genera