MIT Introduction to Deep Learning 6.S191: Lecture 10
Machine Learning for Scent
Lecturer: Alex Wiltschko (Google Brain)
January 2020
For all lectures, slides, and lab materials: http://introtodeeplearning.com
Lecture Outline
0:00 – Introduction
2:55 – Digitizing smell
4:28 – The sense of smell
10:11 – Problem setup
12:58 – Molecule fragrance dataset
16:00 – Baseline algorithms
18:14 – Graph neural networks
21:25 – Molecules to graphs
23:03 – Predicting odor descriptors
25:19 – The odor embedding space
27:58 – Molecular neighbors
30:04 – Generalization
32:34 – Explaining/interpreting predictions
36:49 – Summary and future work
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