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Consider the following perceptron network.i. How many different classes can this network classify?ii. Draw a diagram illustrating the regions corresponding to each class. Label each region with the...

Solve the three simple classification problems shown in Figure P4.1 by drawing a decision boundary. Find weight and bias values that result in single-neuron perceptrons with the chosen decision...

Solve the following classification problem with the perceptron rule. Apply each input vector in order, for as many repetitions as it takes to ensure that the problem is solved. Draw a graph of the...

Convert the classification problem defined below into an equivalent problem definition consisting of inequalities constraining weight and bias values.

We want to design a Hamming network to recognize the following prototype vectors:i. Find the weight matrices and bias vectors for the Hamming network.ii. Draw the network diagram. iii. Apply the...