3. Refer to the Figure below that implements an XOR function for boolean input (X1, X2)....

 

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3. Refer to the Figure below that implements an XOR function for boolean input (X1, X2). Bias values are indicated within the nodes (shown as circles). Step activation function is used in all nodes, such that output = 1 when total input >= bias, otherwise 0. X1 X2 1.5 0.5 XOR (X1, X2) What is the smallest value of w that can realize the XOR function? 3. Refer to the Figure below that implements an XOR function for boolean input (X1, X2). Bias values are indicated within the nodes (shown as circles). Step activation function is used in all nodes, such that output = 1 when total input >= bias, otherwise 0. X1 X2 1.5 0.5 XOR (X1, X2) What is the smallest value of w that can realize the XOR function? 3. Refer to the Figure below that implements an XOR function for boolean input (X1, X2). Bias values are indicated within the nodes (shown as circles). Step activation function is used in all nodes, such that output = 1 when total input >= bias, otherwise 0. X1 X2 1.5 0.5 XOR (X1, X2) What is the smallest value of w that can realize the XOR function?

Answer rating: 100% (QA)

Step 1 The given figure represents a neural network with three nodes X1 X2 and O The inputs X1 and X2 are the boolean inputs for the XOR function and ... View the full answer