Tuesday, November 17, 2020

Pytorch versus tensorflow

 Biggest difference: Static vs. dynamic computation graphs 

 Creating a static graph beforehand is unnecessary 

 Reverse-mode auto-diff implies a computation graph 

PyTorch takes advantage of this =>  We use PyTorch

https://courses.cs.washington.edu/courses/cse446/18wi/sections/section7/446_pytorch_slides.pdf


No comments:

Post a Comment