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Deep Learning A-Z™: Self Organizing Maps (SOM) - How do SOMs learn (part 2)
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Deep Learning A-Z™: Self Organizing Maps (SOM) - How do SOMs learn (part 2)
1.
© SuperDataScienceDeep Learning
A-Z
2.
© SuperDataScienceDeep Learning
A-Z
3.
© SuperDataScienceDeep Learning
A-Z
4.
© SuperDataScienceDeep Learning
A-Z
5.
© SuperDataScienceDeep Learning
A-Z
6.
© SuperDataScienceDeep Learning
A-Z
7.
© SuperDataScienceDeep Learning
A-Z
8.
© SuperDataScienceDeep Learning
A-Z Important to know: • SOMs retain topology of the input set • SOMs reveal correlations that are not easily identified • SOMs classify data without supervision • No target vector -> no backpropagation • No lateral connections between output nodes
9.
© SuperDataScienceDeep Learning
A-Z Kohonen's Self Organizing Feature Maps By Mat Buckland (2004?) Link: http://www.ai-junkie.com/ann/som/som1.html Additional Reading: