PyTorch is now one of the most popular machine learning frameworks out there but that was not a foregone conclusion when it was released in 2016. Our host Pascal is joined by Suraj, a developer advocate here at Meta, to dissect the history of PyTorch and look at the factors that contributed to its success. That includes understanding your target audience, maintaining backwards compatibility, fostering a helpful community and so much more.
You don't need to be an expert in PyTorch to enjoy the discussion as Suraj explains all the basics.
