The Top 4 Reasons to Learn PyTorch (and start getting into AI)

OpenAI, Tesla and Meta use PyTorch to power their machine learning products, perhaps you should too.

What it feels like writing PyTorch code. Photo by Sam Bourke.

Machine learning and artificial intelligence (AI) are exploding!

And as you’ll find out, PyTorch is one of the biggest driving forces behind many of the latest AI revolutions.

So if you’re looking to build machine learning and AI-powered systems, chances are you’ll eventually be stumbling across PyTorch.

But before we start with why you should learn PyTorch, let’s discuss what it is.

What is PyTorch?

PyTorch is an open-source Python-based framework for machine learning.

Open-source means anyone around the world can download or contribute (with adequate checks) to the PyTorch source code, which currently has over 60,000 stars on GitHub.

Many of the world’s most impressive machine learning and artificial intelligence (AI) models are built using PyTorch.

By building, I mean, the algorithms are coded in PyTorch and then are used for various tasks such as:

• Computer vision (such as the vision systems in self-driving cars)