How to install TensorFlow on Windows?

Verify System Requirements

• Ensure your Windows operating system supports TensorFlow. Generally, TensorFlow supports Windows 10 and later versions.

 

• Check that you have a compatible Python version installed (Python 3.7–3.10 are currently supported).

 

• Ensure you have a minimum of 500MB of disk space for TensorFlow and its dependencies.

Install Python and PIP

• If you don't have Python installed, download it from the official Python website.

 

• Ensure that you check the option to add Python to your system PATH during installation.

 

• After installation, verify it using the following command in the Command Prompt:

python --version

• Ensure PIP (Python Package Index) is installed by checking its version:

pip --version

Create a Virtual Environment

• Navigate to the directory where you intend to create your virtual environment.

 

• Create a virtual environment using the following command:

python -m venv tensorflow-env

• Activate your virtual environment:

tensorflow-env\Scripts\activate

Install TensorFlow

• Once your virtual environment is activated, install TensorFlow using pip:

pip install tensorflow

• Make sure to specify the version if you need a particular one, using a command like:

pip install tensorflow==2.9.0

Verify Installation

• Open a Python interpreter by typing python in your command prompt.

 

• Inside the Python shell, execute the following to verify TensorFlow installation:

import tensorflow as tf
print(tf.__version__)

• If TensorFlow is correctly installed, your version number should display without errors.

Optional: Install TensorFlow with GPU Support

• If you have a compatible NVIDIA GPU and want to leverage it, install the GPU version of TensorFlow by ensuring your system meets these prerequisites:

 

• Install the CUDA Toolkit from the official NVIDIA website.

 

• Install cuDNN (CUDA Deep Neural Network library) from NVIDIA.

 

• After installing CUDA and cuDNN, install the TensorFlow-GPU package using:

pip install tensorflow-gpu

• Verify GPU support in TensorFlow once installation is complete:

import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))

Congratulations! You have successfully installed TensorFlow on Windows.

• Remember to deactivate your virtual environment when you're done by typing deactivate in your command prompt.