• Home
  • Fresh Content
  • Courses
  • Resources
  • Podcast
  • Talks
  • Publications
  • Sponsorship
  • Testimonials
  • Contact
  • Menu

Jon Krohn

  • Home
  • Fresh Content
  • Courses
  • Resources
  • Podcast
  • Talks
  • Publications
  • Sponsorship
  • Testimonials
  • Contact
Jon Krohn

Calculating Partial Derivatives with PyTorch AutoDiff

Added on September 30, 2021 by Jon Krohn.

My recent videos have detailed how to calculate partial derivatives by hand. In today's, I demo how we can compute them automatically using PyTorch, enabling us to easily differentiate complex equations like ML models.

We publish a new video from my "Calculus for Machine Learning" course to YouTube every Wednesday. Playlist is here.

More detail about my broader "ML Foundations" curriculum and all of the associated open-source code is available in GitHub here.

In Calculus, Data Science, ML Foundations, Professional Development, YouTube Tags machine learning, datascience, math, calculus, python, pytorch
← Newer: O'Reilly + JK October & November ML Foundations LIVE Classes open for registration Older: Accelerating Start-up Growth with A.I. Specialists →
Back to Top