Which version of python is better for tensorflow?
Which python version does tensorflow use?
Related recommendations: "python video"
1. Install anaconda
tensorflow is based on the python scripting language , so you need to install python, and of course you also need to install dozens of extension packages such as numpy, scipy, six, matplotlib, etc. If you install them one by one, when will they be installed? (I once spent a day just installing scipy...)
But now with the integrated environment anaconda, the installation is convenient. Most of the extension packages of python are integrated in anaconda, so you only need to install this one thing.
First go to https://www.continuum.io/downloads to download anaconda. The current versions include python2.7 version and python3.5 version. Download the corresponding version and the corresponding system anaconda. It is actually An sh script file is about 300M-400M. It is recommended to use the Linux version of python 2.7, because some things in tensorflow do not support python3.5 (such as cPickle).
After downloading successfully, execute in the terminal (version 2.7):
# bash Anaconda2-4.1.1-Linux-x86_64.sh
Or version 3.5:
# bash Anaconda3-4.1.1-Linux-x86_64.sh
During the installation process, you will be asked for the installation path, directly Just press Enter and the default will be fine. There is a place that asks you whether to add the anaconda installation path to the environment variable (.bashrc). You must enter yes
After successful installation, an anaconda2 folder will be generated in the current user root directory. Just the installed content. In the terminal, you can enter
conda info to query the installation information.
Enter conda list to query which libraries you have installed. Commonly used python, numpy, and scipy are among them. If you have any packages that have not been installed, you can run
conda install *** to install them (*** represents the package name). If a package version is not the latest, run conda update *** That's it.
2. Install tensorflow
First execute in the terminal:
anaconda search -t conda tensorflow
Search for tensorflow installation packages, check the version, and select The highest version installed. For example, I see that version 0.10.0rc0 is the highest, as shown below:
Therefore, execute the following code to view detailed information:
anaconda show jjhelmus/tensorflow
It will tell you how to install this package , execute in the terminal:
conda install --channel https://conda.anaconda.org/jjhelmus tensorflow
and then enter "y" to install.
3. Debugging
We can test whether the installation is successful or not.
Enter python in the terminal, enter the python compilation environment, and then enter:
import tensorflow as tf
Introduce the tensorflow package. If no error is reported, the installation is successful, otherwise there will be a problem.
Then you can enter
tf.__version__tf.__path__
to view the installation version and installation path of tensorflow (two underscores on the left and right).
The above is the detailed content of Which version of python is better for tensorflow?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



This article will explain how to improve website performance by analyzing Apache logs under the Debian system. 1. Log Analysis Basics Apache log records the detailed information of all HTTP requests, including IP address, timestamp, request URL, HTTP method and response code. In Debian systems, these logs are usually located in the /var/log/apache2/access.log and /var/log/apache2/error.log directories. Understanding the log structure is the first step in effective analysis. 2. Log analysis tool You can use a variety of tools to analyze Apache logs: Command line tools: grep, awk, sed and other command line tools.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

PHP and Python each have their own advantages, and choose according to project requirements. 1.PHP is suitable for web development, especially for rapid development and maintenance of websites. 2. Python is suitable for data science, machine learning and artificial intelligence, with concise syntax and suitable for beginners.

The readdir function in the Debian system is a system call used to read directory contents and is often used in C programming. This article will explain how to integrate readdir with other tools to enhance its functionality. Method 1: Combining C language program and pipeline First, write a C program to call the readdir function and output the result: #include#include#include#includeintmain(intargc,char*argv[]){DIR*dir;structdirent*entry;if(argc!=2){

This article discusses the DDoS attack detection method. Although no direct application case of "DebianSniffer" was found, the following methods can be used for DDoS attack detection: Effective DDoS attack detection technology: Detection based on traffic analysis: identifying DDoS attacks by monitoring abnormal patterns of network traffic, such as sudden traffic growth, surge in connections on specific ports, etc. This can be achieved using a variety of tools, including but not limited to professional network monitoring systems and custom scripts. For example, Python scripts combined with pyshark and colorama libraries can monitor network traffic in real time and issue alerts. Detection based on statistical analysis: By analyzing statistical characteristics of network traffic, such as data

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

This article will guide you on how to update your NginxSSL certificate on your Debian system. Step 1: Install Certbot First, make sure your system has certbot and python3-certbot-nginx packages installed. If not installed, please execute the following command: sudoapt-getupdatesudoapt-getinstallcertbotpython3-certbot-nginx Step 2: Obtain and configure the certificate Use the certbot command to obtain the Let'sEncrypt certificate and configure Nginx: sudocertbot--nginx Follow the prompts to select

Configuring an HTTPS server on a Debian system involves several steps, including installing the necessary software, generating an SSL certificate, and configuring a web server (such as Apache or Nginx) to use an SSL certificate. Here is a basic guide, assuming you are using an ApacheWeb server. 1. Install the necessary software First, make sure your system is up to date and install Apache and OpenSSL: sudoaptupdatesudoaptupgradesudoaptinsta
