Lecture 2 | Image Classification
59:32
YouTubeStanford University School of Engineering
Lecture 2 | Image Classification
Lecture 2 formalizes the problem of image classification. We discuss the inherent difficulties of image classification, and introduce data-driven approaches. We discuss two simple data-driven image classification algorithms: K-Nearest Neighbors and Linear Classifiers, and introduce the concepts of hyperparameters and cross-validation. Keywords ...
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