MIT Introduction to Deep Learning 6.S191: Lecture 2
Recurrent Neural Networks
Lecturer: Ava Soleimany
January 2020

For all lectures, slides, and lab materials: http://introtodeeplearning.com

Lecture Outline
0:00 - Introduction
2:39 - Sequence modeling
9:57 - Recurrent neural networks
14:04 - RNN intuition
16:48 - Unfolding RNNs
20:31 - Backpropagation through time
24:32 - Gradient issues
28:57 - Long short term memory (LSTM)
37:36 - RNN applications
41:30 - Attention
44:05 - Summary

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