Question: Supjecteural networks /Perceptron Learning Rule E4.7 We have two categories of vectors. Category I consists of {@ 0:0} 4-38 Exercises Category II consists of {[]

Supjecteural networks /Perceptron Learning Rule
E4.7 We have two categories of vectors. Category I consists of {@ 0:0} 4-38 Exercises Category II consists of {[] 21:31 i. Design a single-neuron perceptron network to recognize these two categories of vectors. ii. Draw the network diagram. iii. Sketch the decision boundary. iv. If we add the following vector to Category I, will your network clas- sify it correctly? Demonstrate by computing the network response. v. Can your weight matrix and bias be modified so your network can classify this new vector correctly (while continuing to classify the other vectors correctly)? Explain
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