Difference between revisions of "Radial Basis Function Network (RBFN)"

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[http://www.youtube.com/results?search_query=Radial+Basis+Function+Network+RBFN YouTube search...]
 
[http://www.youtube.com/results?search_query=Radial+Basis+Function+Network+RBFN YouTube search...]
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[http://www.google.com/search?q=Radial+Basis+Function+Network+RBFN+machine+learning+ML+artificial+intelligence ...Google search]
  
 
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<youtube>Wzu2xwK-WnE</youtube>
 
<youtube>Wzu2xwK-WnE</youtube>
  
== Adversarial Attack ==
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== Adversarial Attack Resiliency ==
  
 
Watch 10:15 into the following video...
 
Watch 10:15 into the following video...
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<youtube>CIfsB_EYsVI</youtube>
 
<youtube>CIfsB_EYsVI</youtube>

Latest revision as of 23:28, 2 February 2019

YouTube search... ...Google search

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Performs classification by measuring the input’s similarity to examples from the training set. Each RBFN neuron stores a “prototype”, which is just one of the examples from the training set. When we want to classify a new input, each neuron computes the Euclidean distance between the input and its prototype. Roughly speaking, if the input more closely resembles the class A prototypes than the class B prototypes, it is classified as class A. Radial Basis Function Network (RBFN) Tutorial | Chris McCormick

Note: Support Vector Machine (SVM) represent a special case of RBFNs.

As a non-linear classifier...

architecture_simple2.png

Adversarial Attack Resiliency

Watch 10:15 into the following video...