MIT: Machine Learning 6. 036, Lecture 6 ( Fall 2020)

Lecture 6 for the MIT course 6. 036: Introduction to Machine Learning (Fall 2020 Semester) Full lecture information and slides: Lecture date: 2020, 10, 06 Lecturer: Tamara Broderick Lecture TAs: Crystal Wang and Satvat Jagwani If you find any ways to improve how well the video captions reflect the live lectures, please submit a pull request to: 0:00:00 Overview Review of linear classification 0:06:39 New features: step functions 0:21:07 New notation for neural network layers 0:38:08 Function graph representation of neural networks 0:50:44 Putting neural networks in our class s typical problem setup 0:55:34 Different activation functions 1:00:47 Implications of choices of activation function 1:04:50 Learning the parameters 1:18:22 More layers