Data used to optimize the parameter settings of a supervised learner model is called ...............(1 Point)TestTrainingValidationNone of the above

___________ is smaller than the training set and is used to assess how well models perform when given varied values for the hyperparametersTraining setValidation setTest setNone of the above

Training data is used to train the model; validation data is used to obtain what?1 pointA test of how good the model performs in the real world HyperparametersThe reduced model variance

In Model based learning methods, an iterative process takes place on the ML models that are built based on various model parameters, called ?mini-batcheshyperparameterssuperparametersoptimizedparameters

Question 2Complete the following sentence: The training data is used to fit the model, while the test data is used to:1 pointmeasure the parameters and hyperparameters of the modeltweak the model hyperparameterstweak the model parametersmeasure error and performance of the model

What is used to refine the models during training?Batch NormalizationAdam OptimizerAll of the given optionsConv2DLeakyReLU