NYU's Introduction to Deep Learning Research

Fall 2025, Undergrad edition (NYU-DLFL25U)

This repository hosts my new course, introduction to Deep Learning research for undergraduates. More info can be found on the companion web site.

This repo will host:

• said website (with a table of contents and suggested readings),
• two notebooks written live in class,
• the code of selected final projects created by the students, and
• the project description and key findings (as part of the website).

Micrograd lectures

Lecture 16 and 17, and corresponding notebooks, introduced a simplified variant of karpathy/micrograd, graphically improved for educational purpose. On Mac, install the graph visualisation dependency with:

brew install graphviz
pip install graphviz

As self-study exercise, you may want to read and understand all the source code found at karpathy/micrograd/micrograd.

Selected final projects

Follows a list of folder names, project titles and descriptions for some of the students' final projects I deemed interesting. I suspect most of these projects have been put together with help of a large language model, yet, if the research question and findings are sufficiently solid, I think it's worth checking them out.

The project order reflects the student's total score in the course.

• template: Project template directory
  • A sample project structure demonstrating how students can add their contribution via PR.