This lecture by Prof. Fred Hamprecht covers neural networks. This part introduces parameters of a multi-layer perceptron, back-propagation, self-association networks for PCA, Oja's rule and Radial Basis Function networks.
This lecture is part of a course on Pattern Recognition by Prof. Fred Hamprecht from the Physics department of Heidelberg University. The course introduces modern machine learning methods with an eye to applications in image analysis.
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Lecture 04, part 3 | Pattern Recognition | NatokHD