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For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: Topics: Generalization, Unsupervised learning, K-means Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor - Stanford University Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) Assistant Professor Dorsa Sadigh Assistant Professor in the Computer Science Department & Electrical Engineering Department To follow along with the course schedule and syllabus, visit: #schedule 0:00 Introduction 0:34 Review: feature extractor 0:53 Review: prediction score 1:18 Review: loss function 3:42 Roadmap Generalization 3:58 Training error 4:26 A strawman algorithm 5:15 Overfitting pictures 5:51 Evaluation 9:20 Approximation and estimation error 11:27 Effect of hypothesis class size 12:51 Strategy 1: dimensionality 13:34 Controlling the dimensionality 14:21 Strategy: norm 24:21 Controlling the norm: early stopping 27:34 Hyperparameters 30:22 Validation 36:18 Development cycle 55:08 Supervision? 58:12 Word vectors 58:58 Clustering with deep embeddings
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