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NEW QUESTION 49
What is the role of a hidden layer in an artificial neural network (ANN)?

A. It is responsible for passively reformatting data for use in the ANN.B. It receives and weighs inputs from the preceding layer and produces outputs for the next layer.C. It does not play a role during the forward pass of data through the ANN, but it helps to optimize during the backward pass.D. It is responsible for making the final decision about how to label a record, based on weighted input from preceding layers.

Answer: C

 

NEW QUESTION 50
An HPE Machine Learning Development Environment resource pool uses priority scheduling with preemption disabled. Currently Experiment 1 Trial I is using 32 of the pool's 40 total slots; it has priority 42. Users then run two more experiments:
* Experiment 2:1 trial (Trial 2) that needs 24 slots; priority 50
* Experiment 3; l trial (Trial 3) that needs 24 slots; priority I
What happens?

A. Trial 2 is scheduled on 8 of the slots. Then, alter Trial 1 has finished, it receives 16 more slots.B. Trial 3 is scheduled on 8 of the slots. Then, after Trial 1 has finished, it receives 16 more slots.C. Trial 1 is allowed to finish. Then Trial 2 is scheduled.D. Trial I is allowed to finish. Then Trial 3 is scheduled.

Answer: D

 

NEW QUESTION 51
What are the mechanics of now a model trains?

A. Detects Data drift of content drift that might compromise the ML model's performanceB. Adjusts the model's parameter weights such that the model can Better perform its tasksC. Tests how accurately the model performs on a wide array of real world dataD. Decides which algorithm can best meet the use case for the application in question

Answer: D

 

NEW QUESTION 52
What distinguishes deep learning (DL) from other forms of machine learning (ML)?

A. Models based on neural networks with interconnected layers of nodes, including multiple hidden layersB. Models trained through multiple training processes implemented by different team membersC. Models defined with Apache Spark rather than MapReduceD. Models that are trained through unsupervised, rather than supervised, training

Answer: D

 

NEW QUESTION 53
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