intro to DEEP LEARNING (Undergrad) · introduction to Deep Learning (Undergrad)

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This is second offering of my new course is meant to be an introduction to Deep Learning research for undergraduate (or advanced high school) students. The aim of this course is to get the students fluent in reasoning, using: To test the students’ knowledge, the course uses 6 quizzes throught the semester, 4 homework assignments, 2 projects, and a final oral exam, where the student is examined on final project significance and originality, project presentation and defence, course content knowledge, and communication effectiveness. Selected final projects and code written in class can be found in the GitHub repo, slides, blackboards, and suggested readings can be found on Google Drive. All links are provided at the top of this web page. Will be posted on YouTube and linked here.

Introduction to Deep Learning Research CSCI-UA 480 075 · FALL 2025 · NYU COURANT INSTITUTE OF MATHEMATICAL SCIENCES INSTRUCTOR Alfredo Canziani LECTURES Tue/Thu 12:00 – 13:45 CODE 2025 repo BLACKBOARDS Google Drive READINGS Google Drive SLIDES Google Drive This second offering of my new course is meant to be an introduction to Deep Learning research for undergraduate (or advanced high school) students. The aim of this course is to get the students fluent in reasoning, using: maths (linear algebra, calculus, logic), diagrams and schematics (abstract graphical language), graphs…

intro to DEEP LEARNING (Undergrad) · introduction to Deep Learning (Undergrad)

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