HP Exam HPE2-N69 Topic 6 Question 35 Discussion

Actual exam question for HP's HPE2-N69 exam

Question #: 35
Topic #: 6

[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

Show Suggested Answer

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 Chaya at Jun 02, 2024, 01:14 PM

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Carolynn

6 months ago

I agree with Eugene. Deep learning is all about those interconnected layers in neural networks.

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Stefan

6 months ago

Multiple training processes? Sounds like a recipe for a machine learning version of the Tower of Babel.

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Glennis

6 months ago

Unsupervised training, huh? I wonder if the deep learning models can figure out the meaning of life on their own.

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Layla

5 months ago

A) Yeah, deep learning models can definitely learn complex patterns and relationships without explicit instructions

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Salley

5 months ago

B) I think deep learning models are more complex than that, they can learn patterns and features on their own

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Buffy

6 months ago

A) Models based on neural networks with interconnected layers of nodes, including multiple hidden layers

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Eugene

6 months ago

I think what distinguishes deep learning from other forms of machine learning is models based on neural networks with interconnected layers of nodes, including multiple hidden layers.

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Merilyn

6 months ago

I thought deep learning was all about Apache Spark. Guess I need to brush up on my machine learning fundamentals.

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Paris

6 months ago

Deep learning involves neural networks with multiple hidden layers? Sounds like the right answer to me!

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Natalie

5 months ago

Yes, that's correct. Deep learning is distinguished by models based on neural networks with interconnected layers of nodes, including multiple hidden layers.

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Royal

5 months ago

Deep learning involves neural networks with multiple hidden layers? Sounds like the right answer to me!

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Lura

6 months ago

Yes, that's correct. Deep learning models are based on neural networks with interconnected layers of nodes, including multiple hidden layers.

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Ruthann

6 months ago

I agree, deep learning definitely involves neural networks with multiple hidden layers. It's what sets it apart from other forms of machine learning.

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Carry

6 months ago

Deep learning involves neural networks with multiple hidden layers? Sounds like the right answer to me!

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Donte

6 months ago

Yes, that's correct. Deep learning models are based on neural networks with interconnected layers of nodes, including multiple hidden layers.

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