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 example. 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