Q.1. Specify the structure, weights, and bias(es) of the smallest neural network capable of performing exactly the same function as a minimum distance classifier for two pattern classes in n-dimensional space. You may assume that the classes are tightly grouped and are linearly separable.
Q.1. Specify the structure, weights, and bias(es) of the smallest neural network capable of performing exactly the same function as a minimum distance classifier for two pattern classes in n-dimensional space. You may assume that the classes are tightly grouped and are linearly separable.
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function as a minimum distance classifier for two pattern classes in n-dimensional space. You may assume that the
classes are tightly grouped and are linearly separable."
Transcribed Image Text:Q.1. Specify the structure, weights, and bias(es) of the smallest neural network capable of performing exactly the same
function as a minimum distance classifier for two pattern classes in n-dimensional space. You may assume that the
classes are tightly grouped and are linearly separable.
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