tensorflow anaconda

Recently reinstalled the system, installed the TensorFlow configuration environmentSum up.Resourceshttp://blog.csdn.net/ZWX2445205419/article/details/69429518http://blog.csdn.net/u013294888/article/details/56666023Http://www.2cto.com/kf/201612/578337.htmlhttp://blog.csdn.net/10km/article/details/61915535Nvidia driver installation MethodHttps://wiki.ubuntu.com.cn/NVIDIAQuery the NVIDIA Driver modelHttp://www.nvidia.com/Download/index.aspx?lang=en-usQue

Spacemacs Open Python source file auto-complete does not work, open Anaconda-mode buffer to see the following information:traceback (most recent call last): File "/users/matthew/.emacs.d/.cache/ anaconda-mode/0.1.5/service_factory-0.1.4-py2.7.egg/service_factory/providers/basehttp.py ", line +, in Do_POST Status, Response = Self.server.service (data) File "/users/matthew/.emacs.d/.cache/

Anaconda InstallationFirst go to Anaconda's official website, as shown, you will see the Anaconda download page:2, pull down or click the Windows option in the diagram to get the interface as shown, at this time you can choose according to their own version of the appropriate 2.7 or 3.6, of course, can also be installed in other versions.3, click the Download button in the image can be downloaded

blogger himself in learning machine learning process, see the related books use Python version is different, but want to each version can know how to use, next, bloggers to introduce a more simple and convenient way: First: Install the Python environment, highly recommended to use Anaconda,anaconda is a python release, if Python is compared to Linux, then Anancoda is CentOS or Ubuntu. The first step. Insta

When using the Python language for image processing, we often use anaconda. This software is powerful and integrates a lot of useful python dependencies including numpy,pandas,matplotlib and so on. In addition, the inside with the Jupyter visual editor is also very useful, strongly recommended, it is more interactive, convenient for us to debug the code. Of course, anaconda with graphics and image processin

Original address: http://conda.pydata.org/docs/test-drive.html Conda Test Guide Before starting this Conda test, you should have downloaded and installed Anaconda or MinicondaNote: after installation, you should close and reopen the Windows command line. First, Conda testing process: the use of Conda. First, we will confirm that you have installed the Conda configuration environment. Next, we'll create a few environments to showcase Conda's environme

Connection Server Windows-xshell xftp SSH Connect to a lab server via SSH Using SSH connection is no stranger. GitHub and OS classes are often used Currently using 192.168.7.169 Using Tools Xshell and Xftp Using Xshell to connect servers and operations, the Ubuntu 16.04 LTS operating system is installed on each node of the server Managing Files with Xftp Resources:Xshell+xftp SSH Tunnel ProxyXshell connection to Linux s

Installing Pythonide-anacondaOpen the subtext and use the shortcut key cmd+shift+p to open the package Control to install additional plugins.Enter install and you'll see the package control:install on the screen, click Enter and search for the plugin you want (like Anaconda)Installing AnacondaAfter installing the Anaconda plugin, you will see the following options bar, indicating that the

1. Installing Anaconda: Tsinghua Mirror StationFor your operating system, select the appropriate version in the application software->conda, download link . The installation method is relatively simple and is not described in detail.The Windows System installation process needs to be noted, tick the Add software to the Windows path (can also be added manually, that is, in the environment variable path will be added to the Conda.exe file path), so that

For detailed help:Official document: "Installation Guide"Anaconda LocationAnaconda Command LineAnaconda Configuration MethodKickstart file formatKickstart CreateCD-based Linux installationAnaconda LocationCD, FTP, NFS, HTTPD, NFS* * Based on CD-ROM, install Linux, see text not * *Anaconda Command LineBoot: Linux [options]Options650) this.width=650; "src=" Https://s2.51cto.com/wyfs02/M02/06/2F/wKiom1mzdyXiBJ

VS Code + Anaconda to create a comfortable Python environment Recently has been using Anaconda to write code, but it is not easy to debug, and the other anaconda more biased towards data analysis, Python may be more biased towards the pychram, but my experience is pychram more cumbersome ... Start speed to catch up with MATLAB, so the use of experience is not ver

1, to the official website http://continuum.io/downloads Download Anaconda.Select linux64-bit-python2.72, install Anaconda, in Terminal input: CD ~/downloads;bash anaconda-2.2.0-linux-x86_64.shAfter carriage return, is the license file, receiving the license, Anaconda will be installed under ~/anaconda:You can enter directly.3, finally will ask whether to add

Install TensorFlow in virtualenv mode on Ubuntu This article describes how to install tensorflow in virtualenv mode on Ubuntu. Install pip and virtualenv: # Ubuntu/Linux 64-bit Sudo apt-get install python-pip python-dev python-virtualenv # Mac OS X Sudo easy_install pip Sudo pip install -- upgrade virtualenv Create a Virtualenv virtual environment: Go to the parent directory where you want to install

TensorFlow + jupyter notebook + Nvidia DIY setup This is a detailed installation step on Ubuntu 17.04 that requires sudo permissions. Nvidia driver Settings Install NVIDIA Drive Warehouse sudo add-apt-repository ppa:graphics-drivers/ppa sudo apt-get update sudo apt-get upgrade sudo apt-get Install build-essential cmake g++ gfortran git pkg-config python-dev software-properties-common Install Cuda 8.0 from NVIDIA, including installer and patch 2. s

Ld-o. build_release/lib/libcaffe.so.1.0.0/USR/BIN/LD:-lpython3.5m not foundCollect2:error:ld returned 1 exit statusMakefile:572:recipe for target '. build_release/lib/libcaffe.so.1.0.0 ' failedMake: * * * [. build_release/lib/libcaffe.so.1.0.0] Error 1Here's another workaround, if you want to use Pyhton3, and Anoconda3 is certainly not going to use the Example.config in the Caffe package.You may have looked at config carefully and then deleted the comment before Pyhton3, and commented the Python