EngineeringComputer ScienceComputer Science questions and answers2 Exclusive-OR gate Input Input Output A AB Output 0 0 0 01 1 ilo 1 11 0 R Build an Artificial Neural network to correctly classify the outputs of an XOR logic gate. [CLO- 4(PLO-1)] Part (A): Initialize the weights based on common sense, however, you must use one of the weights equal to your registration number (FA18-BCS-014 should use one of the weight question: 2 Exclusive-OR gate Input Input Output A AB Output 0 0 0 01 1 ilo 1 11 0 R Build an Artificial Neural network to correctly classify the outputs of an XOR logic gate. [CLO- 4(PLO-1)] Part (A): Initialize the weights based on common sense, however, you must use one of the weights equal to your registration number (FA18-BCS-014 should use one of the weightThis question hasn’t been solved yetAsk an expertAsk an expertAsk an expert done loading
subject : AI
need as soon as possible please
Show transcribed image textExpert Answer Who are the experts? Experts are tested by assignmentguruh as specialists in their subject area. We review their content and use your feedback to keep the quality high.Transcribed image text: 2 Exclusive-OR gate Input Input Output A AB Output 0 0 0 01 1 ilo 1 11 0 R Build an Artificial Neural network to correctly classify the outputs of an XOR logic gate. [CLO- 4(PLO-1)] Part (A): Initialize the weights based on common sense, however, you must use one of the weights equal to your registration number (FA18-BCS-014 should use one of the weight value equal to 14, adjust another weights accordingly). After initializing the weights apply feed forward mechanism to prove that all the output of 2 input XOR gate are correctly classified using your customized MLP (execute for single iteration only). [15] Part (B): Why do you need a Multi-Layer Perceptron (MLP) to represent this classifier? [5] (Non-anonymous question ) * (20 Points) Previous question Next question
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