Machine Learning

  Q1. Backpropagation in MLP Which of the following options are true with respect to Backpropagation? Choose the correct answer from below, please note that this question may have multiple correct answers A.      In backpropagation, we calculate the error contribution of each neuron. B.      In backpropagation, we calculate the loss gradients with respect to inputs. C.       In backpropagation, we calculate the loss gradient with respect to weights and biases. D.      In backpropagation, we update the weights of neurons in each iteration. Ans: A, C,D Correct options : i) In backpropagation, we calculate the error contribution of each neuron. ii) In backpropagation, we calculate the loss gradient with respect to weights and biases. iii) In backpropagation, we update the weights of neurons in each iteration. Explanation : Only this statement is false “It is used to calculate the loss gradients with respect to inputs.” as we can’t update the inputs. All the other