The perfect JupyterLab environment with tensorflow_gpu installation

Tried hard searching for how to install tensorflow_gpu along with a working JupyterLab environment???

But no more. Your search is over and in this simple installation guide, I will tell you every step for installing JupyterLab and tensorflow_gpu for your next big project.

Follow this guide carefully to install everything without any errors.

What you’ll need:-

• Python installer (for executing Python commands)
• Node.js installer (for no error regarding build status of Jupyter notebooks)
• CUDA development toolkit (for running TensorFlow code on your GPU)
• cuDNN file (for accessing the deep learning architecture)

So, let’s begin…

1. We will use Python 3.9.6. So, visit the link:- https://www.python.org/downloads/ and download the latest version of the Python installer and install it as usual. Don’t forget to check the box saying “Add Python x.x to Path” during installation.
2. Now visit https://nodejs.org/en/download/ and download the installer based on the type (Windows, Mac, or Linux) and architecture of the operating system (32-bit or 64-bit). Install it as usual.
3. We will install…