MIT 6.S191: Introduction to Deep Learning - MIT 6.S191 (2020): Machine Learning for Scent

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 Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!