The loss is a function 1 pointprovides you with a number that lets you know  how good your estimate ismake a prediction

Question 1What does the equation for the loss function do conceptually?1 pointPenalize overconfidenceIgnore historical statistical developmentsMathematically define network outputsReward indecisio

In deep learning, what is the purpose of a loss function? To remove data for which no known label values are provided To evaluate the aggregate difference between predicted and actual label values To calculate the cost of training a neural network rather than a statistical model

Loss function of an MLP defines1 pointa surface of errors produced by the MLPa hyperplane of errors produced bythe MLPa line of errors produced by the MLPNone of the above

Q.No 2. In machine learning, what is the role of a loss function?a. Maximizing accuracyb. Minimizing errorsc. Determining feature importanced. Generating new data

Which is the correct formula for a classification loss function problem1 pointDeviation of the predicted value from the correct result valueNumber of mismatches between predicted and correct valueSum of residualsAll three can be used