Deep Learning: Understanding Its Role
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Questions and Answers

Deep learning is a subfield of Machine learning.

True

Machine learning algorithms work with unstructured data, while Deep learning works with only structured data.

False

As the amount of data increases, the performance of Machine learning algorithms increases.

False

Deep learning can be used for applications such as computer vision, natural language processing, and healthcare.

<p>True</p> Signup and view all the answers

A Neural Network is a computational model inspired by the structure and function of the brain.

<p>True</p> Signup and view all the answers

What is the main difference between Machine learning and Deep learning?

<p>Machine learning works with structured data, while Deep learning can work with both structured and unstructured data</p> Signup and view all the answers

Why is Deep learning needed for processing a huge amount of data?

<p>To achieve the best performance with large amount of data</p> Signup and view all the answers

What is the primary application of Deep learning in healthcare?

<p>Medication imaging analysis</p> Signup and view all the answers

What type of data does Deep learning primarily work with?

<p>Both structured and unstructured data</p> Signup and view all the answers

What is the main function of a Neural Network in the context of Deep learning?

<p>Extracting features out of an object and identifying similar objects</p> Signup and view all the answers

Deep learning is a subfield of Machine learning.

<p>True</p> Signup and view all the answers

Machine learning algorithms work with unstructured data, while Deep learning works with only structured data.

<p>False</p> Signup and view all the answers

As the amount of data increases, the performance of Machine learning algorithms increases.

<p>False</p> Signup and view all the answers

A Neural Network is a computational model inspired by the structure and function of the brain.

<p>True</p> Signup and view all the answers

Deep learning can be used for applications such as computer vision, natural language processing, and healthcare.

<p>True</p> Signup and view all the answers

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