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NYU DLSP21: NYU Deep Learning Spring 2021

Descriptions

  • Offered by: NYU
  • Prerequisites: Linear Algebra, Probability, and Python Programming
  • Programming Languages: Python
  • Difficulty: 🌟🌟🌟🌟
  • Class Hour: ~80 hours

The most distinctive feature of this course is that it is taught by Yann LeCun. For many learners, this is a rare public opportunity to follow a full deep learning course from a top researcher.

Its style balances theory and intuition with a research-oriented perspective. It works especially well as a high-quality follow-up after introductory courses, helping you build better instincts for problem framing and model design.

Course Resources

  • Course Website: https://atcold.github.io/NYU-DLSP21/
  • Recordings: Full lecture videos on the course website
  • Textbooks: Lecture Notes / Slides
  • Assignments: Assignments and practical materials on the course website

Personal Resources

No public personal repository is currently provided for this course.