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: 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 fullyconnected