Installation of TensorFlow

System Requirements for TensorFlow:

Before installing TensorFlow, ensure that your system meets the following requirements -

For CPU Installation

• Operating System: Windows 10/11, macOS, or Linux

• Python Version: 3.7 to 3.10 (TensorFlow does not support Python 3.11+ yet)

• Pip Version: Latest version of pip

• RAM: At least 4GB (8GB or more recommended)

• Disk Space: At least 5GB of free storage

  
  

For GPU Installation (for faster computations)

• NVIDIA GPU: Compatible with CUDA-enabled GPUs

• CUDA Toolkit: Version 11.2 or later

• cuDNN: Version 8.1 or later

• NVIDIA Drivers: Latest stable drivers

• RAM: 8GB or more recommended

To check your Python and pip versions, run the following commands

If you plan to use a GPU, ensure that your system supports CUDA by running

How to install TensorFlow Using pip? Follow these steps:

Step 1: Upgrade pip

Before installing TensorFlow, update pip to the latest version using

Step 2: Install TensorFlow

Run the following command to install TensorFlow

Step 3: Verify Installation

To check if TensorFlow is installed correctly, open a Python shell and run

After running command on Python shell ,If the installation is successful, this command will print the installed TensorFlow version.

Setting up TensorFlow in Jupyter Notebook

If you plan to use TensorFlow in Jupyter Notebook, follow these steps:

Step 1: Install Jupyter Notebook

Run Above given command if you do not have Jupyter Notebook

Step 2: Install and Create a Virtual Environment

• source tf_env/bin/activate # For macOS/Linux

Run Above given Command on Window OS

• Using a virtual environment helps manage dependencies separately.

Step 3: Install TensorFlow in the Virtual Environment

After activating the virtual environment, install TensorFlow using above given command

Step 4: Install and Add a Kernel for Jupyter Notebook

Install the IPython kernel using above given command

Step 5: Launch Jupyter Notebook

Start Jupyter Notebook using above command

• After executing this command, you will go to the Jupyter Notebook Home Screen

• Then, select the Python (tf_env) kernel by clicking on New tab

• After Clicking on Python (tf_env) you will get this window

Step 6: Verify TensorFlow Installation

Inside a Jupyter Notebook cell, run above given code

• If TensorFlow is installed correctly, it will display the installed version as it shown in above picture.