I published three new videos in my Machine Learning Foundations series today, including an introduction to tensors, with a focus on handling scalar tensors in PyTorch and TensorFlow (vectors and matrices coming up next).
I hope you enjoy them! The response to the first videos in the series -- released a fortnight ago -- has blown me over. I'm excited to continue to get more of these out on YouTube ASAP.
The playlist for the entire series, which will consist of 30+ hours of videos, is here.
The series is full of hands-on demos in Python and all of the code is in GitHub here.
Thanks to Sangbin Lee for continuing to be an outstanding producer and editor.
In this video from my Machine Learning Foundations series, I describe tensors, the fundamental building block of linear algebra for any kind of machine learn...
In this video from my Machine Learning Foundations series, I address the theory and notation of scalar tensors. In addition, we'll do our first hands-on code...