Python Deep Learning: PyTorch vs Tensorflow

PyTorch vs TensorFlow: What’s the difference? Both are open source Python libraries that use graphs to perform numerical computation on data. Both are used extensively in academic research and commercial code. Both are extended by a variety of APIs, cloud computing platforms, and model repositories.

If they’re so similar, then which one is best for your project?

In this video course, you’ll learn:

  • What the differences are between PyTorch and TensorFlow
  • What tools and resources are available for each
  • How to choose the best option for your specific use case

You’ll start by taking a close look at both platforms, beginning with the slightly older TensorFlow, before exploring some considerations that can help you determine which choice is best for your project. Let’s get started!

What’s Included:

Downloadable Resources:

Related Learning Paths:

About Negar Vahid

Negar Vahid Negar Vahid

Negar is a freelance Machine Learning Engineer and Real Python contributor.

» More about Negar

Each tutorial at Real Python is created by a team of developers so that it meets our high quality standards. The team members who worked on this tutorial are:

« Browse All Courses