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Consider a perceptron that has two real-valued inputs and an output unit with a step function as its activation function. All the initial weights and the bias ("threshold") equal 0.1. Assume the teacher has said that the output should be 0 for the input in1 = 5 and in2 = -3.

Show how the perceptron learning rule would alter this neural network upon processing this training ex. Let ? (the learning rate) be 0.2 and be sure to adjust the output unit's bias during training.


Perceptron BEFORE Training
perceptrron after training

Computer Engineering, Engineering

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