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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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.
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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