Which two hyperparameters should you use?

You use the Two-Class Neural Network module in Azure Machine Learning Studio to build a binary

classification model. You use the Tune Model Hyperparameters module to tune accuracy for the model.

You need to select the hyperparameters that should be tuned using the Tune Model Hyperparameters module.

Which two hyperparameters should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A . Number of hidden nodes
B . Learning Rate
C . The type of the normalizer
D . Number of learning iterations
E . Hidden layer specification

View Answer

Answer: D,E

Explanation:

D: For Number of learning iterations, specify the maximum number of times the algorithm should process the training cases.

E: For Hidden layer specification, select the type of network architecture to create.

Between the input and output layers you can insert multiple hidden layers. Most predictive tasks can be

accomplished easily with only one or a few hidden layers.

Reference: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-

class-neural-network