'Similar input patterns' presentation slideshows

Chapter 5 Unsupervised learning

Chapter 5 Unsupervised learning. Introduction. Unsupervised learning Training samples contain only input patterns No desired output is given (teacher-less) Learn to form classes/clusters of sample patterns according to similarities among them

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Simple learning in connectionist networks

Simple learning in connectionist networks. Learning associations in connectionist networks Associationism (James, 1890) Association by contiguity Generalization by similarity. Connectionist implementation

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