Open source platform for artificial intelligence models
Developed by Google, TensorFlow is an open source library used to create and train machine learning models. It allows developers to design complex neural networks and deploy these models in a scalable manner.
Updates
- September 27, 2026: Stars 200,528 → 200,552, latest release v2.21.0 (March 6, 2026).
What you get
- Enables building and deploying machine learning applications
- Provides stable interfaces for Python and C++ programming languages
- It hosts a flexible ecosystem with GPU and CPU support
Installation
pip install tensorflowpip install tensorflow-cpuRunning it
pythonIf you don't write code
Tell me about TensorFlow installation and first testing steps. Explain how I can perform basic addition operations by running the python command after installing the library with the pip install tensorflow command.
Repository: https://github.com/tensorflow/tensorflow. Follow the official instructions in the README of this repository for setup and execution.
Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.
Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.
Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-09-27: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.