1. We are training the perceptron below to realize the function "three or more 0.1 2 0.3 0.4 inputs are +1." The next two training inputs for (w.x.y.z) are ((-1,-1,+1,+1), -1) and (+1,+1,-1,-1)-1). Suppose that =0.1; that is, we adjust the weights on the inputs after each training example by 0.1 times the error in the output times the input value Simulate the two training steps, and then identify, in the list below, the weight on one of the inputs at the end of the training The new weight for y is 0.1 O O O a) b) The new weight for x is 0.4 c) The new weight for z is 0.1 d) The new weight for x is 0.2 1. We are training the perceptron below to realize the function "three or more 0.1 2 0.3 0.4 inputs are +1." The next two training inputs for (w.x.y.z) are ((-1,-1,+1,+1), -1) and (+1,+1,-1,-1)-1). Suppose that =0.1; that is, we adjust the weights on the inputs after each training example by 0.1 times the error in the output times the input value Simulate the two training steps, and then identify, in the list below, the weight on one of the inputs at the end of the training The new weight for y is 0.1 O O O a) b) The new weight for x is 0.4 c) The new weight for z is 0.1 d) The new weight for x is 0.2