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

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

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

What is the role of Gradient Descent functions in Machine Learning?ATo compute the loss valuesBTo determine the speed of learning and minimize lossCTo minimize the output values from the learning algorithmsDTo understand how the input values impact output values

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

You need to evaluate a classification model. Which metric can you use? ​​ Mean squared error (MSE)PrecisionSilhouette3. In deep learning, what is the purpose of a loss function? To remove data for which no known label values are providedTo evaluate the aggregate difference between predicted and actual label valuesTo calculate the cost of training a neural network rather than a statistical model4. What does automated machine learning in Azure Machine Learning enable you to do? Automatically deploy new versions of a model as they're trainedAutomatically provision Azure Machine Learning workspaces for new data scientists in an organizationAutomatically run multiple training jobs using different algorithms and parameters to find the best model