In this tutorial, we will install TensorFlow, which is an end-to-end open source platform for machine learning.

To start this tutorial, I recommend to use Miniforge (a community-led alternative to Anaconda):

TensorFlow logo

We create a new environment and call it tf. We also install TensorFlow and additional packages in this new environment:

conda create -n tf tensorflow matplotlib pandas jupyter pydot

When conda asks you to proceed (proceed ([y]/n)?), type y.

We also need to install graphviz.

Congratulations! You have completed the tutorial and learned how to install:

✅ TensorFlow

If you'd like to learn more about Deep Learning with TensorFlow, have a look at the following suggestion:

If you want to switch back to your base environment, just use:

conda deactivate

Jan Kirenz

Thank you for participating in this tutorial. If you found any issues along the way I'd appreciate it if you'd raise them by clicking the Report a mistake button at the bottom left of this site.

Jan Kirenz (2022) | kirenz.com | Made with Codelabs