Skip to content

# MIT 6.7960: Deep Learning

## Descriptions

- Offered by: MIT
- Prerequisites: Linear Algebra, Probability/Statistics, and ML Foundations
- Programming Languages: Python
- Difficulty: 🌟🌟🌟🌟
- Class Hour: ~90 hours

A key strength of MIT 6.7960 is breadth. Beyond mainstream LLM/NLP topics, it also includes computer-vision-oriented content, making it a good choice if you want broader coverage rather than a single-track focus.

The course typically combines theory, model design, and application cases. For self-learners with basic foundations, its assignments/projects are practical for advanced training across multiple subfields.

## Course Resources

- Course Website: https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/
- Recordings: Lecture videos and related materials on MIT OCW
- Textbooks: Lecture Notes + recommended papers
- Assignments: Assignment and project information on MIT OCW

## Personal Resources

No public personal repository is currently provided for this course.

2026-02-21