Install TensorFlow with Python

TensorFlow is an open-source machine learning (ML) framework developed by Google. It is primarily used for building and deploying deep learning models, though it also supports traditional machine learning algorithms. TensorFlow offers a variety of tools and libraries to help with everything from data manipulation to model building and deployment, making it highly popular for AI development. To install TensorFlow with Python, follow these steps:

Set up Python Environment

Check Python Version. TensorFlow requires Python 3.7 or later.

Check your Python version

python –version

or

python3 –version

Create a Virtual Environment

Its recommended to create a Python virtual environment.

python -m venv tensorflow_env

Activate the environment

On Windows:

tensorflow_env\Scripts\activate

On Linux:

source tensorflow_env/bin/activate

Install TensorFlow

Update pip to the latest version:

pip install –upgrade pip

Install TensorFlow

Run the following command to install TensorFlow:

pip install tensorflow

For GPU support (if you have a compatible GPU):

pip install tensorflow-gpu

Verify Installation

To verify the installation, open Python IDE and run the following code. Import TensorFlow and check its version:

import tensorflow as tf
print(tf.__version__)