HP Exam HPE2-N69 Topic 2 Question 28 Discussion

Actual exam question for HP's HPE2-N69 exam

Question #: 28
Topic #: 2

[All HPE2-N69 Questions]

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

AModels based on neural networks with interconnected layers of nodes, including multiple hidden layers

BModels defined with Apache Spark rather than MapReduce

CModels that are trained through unsupervised, rather than supervised, training

DModels trained through multiple training processes implemented by different team members

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Suggested Answer: A

Models based on neural networks with interconnected layers of nodes, including multiple hidden layers. Deep learning (DL) is a type of machine learning (ML) that uses models based on neural networks with interconnected layers of nodes, including multiple hidden layers. This is what distinguishes it from other forms of ML, which typically use simpler models with fewer layers. The multiple layers of DL models enable them to learn complex patterns and features from the data, allowing for more accurate and powerful predictions.

by Sarah at Mar 10, 2024, 06:28 PM

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7 months ago

I think what distinguishes deep learning is the interconnected layers of nodes in neural networks.

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