MIT: Machine Learning 6.036, Lecture 6: Neural networks (Fall 2020)

Lecture 6 for the MIT course 6.036: Introduction to Machine Learning (Fall 2020 Semester)
Full lecture information and slides: http://tamarabroderick.com/ml.html
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: https://github.com/tbroderick/ml_6036...

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!