Lecture 11 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 / 11 / 10
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
0:08:20 Text prediction: supervised learning
0:15:17 Can express as a state machine
0:24:00 Visualizing as a function graph
0:42:28 Recall: familiar pattern
1:00:55 Recurrent neural network
1:06:50 Folded vs unfolded
1:08:55 Compare to other things we have seen
1:13:48 RNNs: a taste of backpropagation