Stanford launches CS 312 Deep Learning Alchemy course with public assignments
Overview
Stanford is launching CS 312, Deep Learning Alchemy, a fall course taught by Tatsunori Hashimoto and Suhas Kotha, according to a post by X user meng shao.
The course aims to build hands-on intuition for deep learning through small-model experiments.
Students may use AI agents on assignments but must show mastery on exams without them. Exams are 7 in total and make up 85% of the grade.
Assignments, quizzes and handouts are public at deep-learning-alchemy.github.io, and lecture recordings will be released through Stanford Online with a delay.
Written by AI from the articles below · updated Oct 13, 10:09 PM ET
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meng shao@shao__mengXStanford launches CS 312 Deep Learning Alchemy with public assignments and quizzesAIStanford's new fall course CS 312, Deep Learning Alchemy, is taught by Tatsunori Hashimoto and Suhas Kotha to build hands-on intuition for deep learning through small-model experiments. Assessment is 7 exams worth 85% of the grade, with students allowed to use AI agents for assignments but required to show mastery on exams without them. Assignments, quizzes and handouts are public at deep-learning-alchemy.github.io, and lecture recordings will be released through Stanford Online with a delay.

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