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HPE2-N69 – Using HPE AI and Machine Learning

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Showing 1–3 of 5 questions

Question 1

ML engineers are defining a convolutional neural network (CNN) model bur they are not sure how many filters to use in each convolutional layer. What can help them address this concern?

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    Using hyperparameter optimization (HPO)
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    Distributing the training across multiple CPUs
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    Using a variable learning late
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    Training the model on multiple epochs
Question 2

A customer is using fair-share scheduling for an HPE Machine Learning Development Environment resource pool. What is one way that users can obtain relatively more resource slots for their important experiments?

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    Set the weight to a higher than default value.
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    Set the weight to a lower than default value.
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    Set the priority to a lower than default value.
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    Set the priority to a higher than default value.
Question 3

What role do HPE ProLiant DL325 servers play in HPE Machine Learning Development System?

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    They run validation and checkpoint workloads.
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    They run training workloads that do not require GPUs.
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    They host management software such as the conductor and HPCM.
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    They run non-distributed training workloads.