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"Google" + "deep learning", two tags let the December 2015 Google open-source deep learning tool TensorFlow after its release quickly became the world's hottest open source project, April 2016, open source TensorFlow support distributed features, The application to the production environment is further.The TensorFlow API supports Python 2.7 and Python 3.3+, with
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
Recently learning TensorFlow, of course, the premise is to install a good framework, many online tutorials are virtual or conda, from my experience, Windows is currently only supported Python3.5 version of the installation, Python official online has instructions:I Python27 because of the commonly used is the change of a bit:Download anaconda2 and
python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.0-py3-none-any.whlEdit 1:tested on Windows and Mac changepython3TopythonAccording to your configuration. Changepy3Topy2In the URL if you are using python2.xInstall TensorFlow i
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 install Theano
Reference: Https://www.tensorflow.org/install/install_windows#installing_with_anaconda1. Download Anacondahttps://www.anaconda.com/download/Download the version here:Click the *.exe file to install directly, after the installation is complete in "All Programs" found Anaconda PromptRun as Administrator. (You can also run the file as an administrator in the installation directory, my installation directory is
TensorFlow is a deep learning package developed by Google and is currently only supported on Linux and OSX. But this fall may have a Windows-enabled version of it, so for developers who use Windows, there's no need to wait for the fall or go to Linux and OSX TensorFlow. There are two ways to run on
the appropriate CUDNN (https://developer.nvidia.com/rdp/cudnn-download) after installing CudaCUDA installation path: C:\Program files\nvidia GPU Computing toolkit\cuda\v9.1Unzip the downloaded CUDNN file and open the Cuda installation path.Copy the files in each folder of Cudnn to the folder corresponding to the Cuda folder. OkTest the installation successfully in CMD input nvcc-v.Four, go back to Pycharm, run the program Installation success!!!Five, currently
instead of conda the install command. Note: The Conda package is supported by the community and is not supported by the official. That is, the TensorFlow team neither tests nor maintains the Conda package. Use Conda to contain certain risks. 4. Install with this PIPIf you do not have one of the following versions of Python installed on your computer,
This article directory
Introduction based on Anaconda tensorflow install 1 download Linux version of Anaconda installation package 2 Install Anaconda use Anaconda installation TensorFlow 1 establish a Conda computing environment 2 activation environment using Conda installation Ten
As a result of the recent busy, until the holidays are empty, so will learn from their own knowledge to share. If there is a wrong place, please point out, thank you! At present the deep study is getting more and more fire, the related worker who learns, uses TensorFlow more and more. Recently, a Python script was used to train the model under the TensorFlow line, and the Freeze_graph tool was used to outpu
After Ubuntu16.04 is installed in Cuda and CUDNN, install Tensorflow,tensorflow and OPENCV can download the corresponding installation package on the Internet and install it directly from Pip and Conda directly under the path where the installation package is located, as shown in:The prerequisite is to download a good
TensorFlow requires Python 3.5/3.6 64bit version:Specific installation methods can be viewed: https://www.tensorflow.org/install/install_windows Enter Python at the command prompt to start and view the current version: To view the specific version information, enter:1 python-v Download the new 64bit version of Python for installation.Windows Python3.6.5 64bit:https://www.python.org/ftp/python/3.6.5/pyth
I was in the study of TensorFlow, but also in their own notebooks to complete the installation, in the Pycharm to learn. But recently, in order to use Python's scientific computing environment, I uninstalled the previous environment and reinstalled the TensorFlow with Anaconda, which describes how the CPU version is installed.Prerequisite check:
In Https://developer.nvidia.com/cuda-gpus confirm tha
new version in PyPI. Now you can install TensorFlow using the command c:> pip install TensorFlow.2. Download and install the python,python-pip2.1. Download Python and python-pip2.1.1. Python:Https://www.python.org/ftp/python/3.5.2/python-3.5.2-amd64.exe3.5.2 version of I is
79760616Recently began to learn the relevant knowledge of deep learning, ready to combat, read some about TensorFlow installation blog, around a few bends, so to fill the pit (redundant installed or non-Windows), mainly around the use of pycharm need to tensorflow installation process.Environment: WINDOWS10 Professional Edition. Just want to run a little bit
Installation Environment:
Windows 64bit
Gpu:geforce GT 720
python:3.5.3
Cuda:8
First download the Anaconda3 version of Win10 64bit and install the Python3.5 release. Because currently TensorFlow only supports Python3.5 for Windows. You can download the Anaconda installation package direct
Install TensorFlow in Python2.7 in Ubuntu 16.04
My system environment:
Ubuntu 16.04 LTS
Python 1, 2.7
Python 1, 3.5
Two TensorFlow versions:
TensorFlow is installed in the following ways:
Virtualenv
Pip
Docker
Anaconda
Source code compilation
Pip is the Python software package management system: Pip
, including more than 100 of the most popular python,r and Scala packages for data science.From Anaconda official download pageSee Anaconda Official tutorial for details, easy to understand!Anaconda Preliminary Study0. Download Anaconda installation package: Anaconda officialI downloaded the anaconda4.3.0for Windows 64bit (built-in python3.6)Download is ready to install, always next step.1. Check if Anacond
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