Making Deep Learning Human with Prof. Gilbert Strang

Chalk Radio

MIT OpenCourseWare에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 MIT OpenCourseWare 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

4+ y ago 10:47

MP3•에피소드 홈

Mathematics Professor Gilbert Strang is one of MIT’s most revered instructors; his courses, especially the perennially popular linear algebra course 18.06, have received millions of visits on OpenCourseWare, and his lecture videos have won him a devoted following on YouTube as well. (A sample YouTube comment on one of his lectures: “This is not lecture, this is art.”) A few years ago, Professor Strang began teaching a new course (18.065) focusing on the application of mathematical matrices to deep learning and AI. This new course is very unlike a typical undergraduate math course. For one thing, there’s no final exam—in fact, there are no exams at all! Instead, Professor Strang asks each student to spend the semester developing a project that applies the techniques they’re studying to some topic or problem they personally find interesting. In this episode, we hear from Professor Strang about his efforts to humanize math teaching, the value of thinking through problems in real time during lectures—even if it means getting stuck and having to backtrack!—and the importance of staying continually conscious of your students.

Relevant Resources:

MIT OpenCourseWare

The OCW Educator Portal

18.065 on OCW

18.06 on OCW

18.06 Scholar on OCW

Professor Strang’s faculty page

Profile of Professor Strang

Music in this episode by Blue Dot Sessions

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Credits

Sarah Hansen, host and producer

Brett Paci, producer

Dave Lishansky, producer

Show notes by Peter Chipman

51 에피소드