The Gradient: Perspectives on AI Gil Strang: Linear Algebra and Deep Learning
13 snips
Aug 17, 2023 Gil Strang, world's foremost mathematics educator and mathematician, discusses his journey into teaching linear algebra, the importance of connecting computer languages with linear algebra, and pedagogical approaches in teaching linear algebra and deep learning. He also explores the challenges of neural network generalization and his experience teaching convolutional neural networks to high school students.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7
Introduction
00:00 • 3min
The Importance of Teaching Applied Linear Algebra Methods to Engineers
02:32 • 17min
Teaching Linear Algebra and Closing the Gap between Theory and Practice
19:50 • 18min
Approaches and Concepts in Deep Learning
37:56 • 4min
The Generalization Mystery
42:05 • 7min
Teaching High School Students about Convolutional Neural Networks
48:36 • 2min
Teaching Linear Algebra: Changes and Consistency
50:47 • 10min