pip installation tensorflow tutorial

小老鼠
Release: 2023-12-07 15:50:15
Original
2056 people have browsed it

Installation steps: 1. Make sure that Python and pip have been installed; 2. Open the command prompt or terminal window and enter the "pip install tensorflow" command to install TensorFlow; 3. If you want to install the CPU version of TensorFlow, you can Use the "pip install tensorflow-cpu" command; 4. After the installation is complete, you can use TensorFlow in Python.

pip installation tensorflow tutorial

The operating system for this tutorial: Windows 10 system, Python version 3.11.4, Dell G3 computer.

Install TensorFlow as follows:

First, make sure you have installed Python and pip. If you don't have Python installed yet, please install Python first and add it to your system path.

Open a command prompt or terminal window and enter the following command to install TensorFlow:

pip install tensorflow
Copy after login

If you want to install the CPU version of TensorFlow, you can use the following command:

pip install tensorflow-cpu
Copy after login

If you want to install a specific version of TensorFlow, you can use the following command:

pip install tensorflow==<version>
Copy after login

where is the TensorFlow version number you want to install.

Wait for pip to download and install TensorFlow. Once installed, you can use TensorFlow in Python.

Please note that installing TensorFlow may take some time, depending on your network speed and computer performance. Once installed, you can import TensorFlow in Python and start using it.

The above is the detailed content of pip installation tensorflow tutorial. For more information, please follow other related articles on the PHP Chinese website!

Related labels:
source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template
About us Disclaimer Sitemap
php.cn:Public welfare online PHP training,Help PHP learners grow quickly!