15 Questions
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.
True
A Neural Network is a computational model inspired by the structure and function of the brain.
True
What is the main difference between Machine learning and Deep learning?
Machine learning works with structured data, while Deep learning can work with both structured and unstructured data
Why is Deep learning needed for processing a huge amount of data?
To achieve the best performance with large amount of data
What is the primary application of Deep learning in healthcare?
Medication imaging analysis
What type of data does Deep learning primarily work with?
Both structured and unstructured data
What is the main function of a Neural Network in the context of Deep learning?
Extracting features out of an object and identifying similar objects
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
A Neural Network is a computational model inspired by the structure and function of the brain.
True
Deep learning can be used for applications such as computer vision, natural language processing, and healthcare.
True
Test your knowledge about deep learning, a subfield of machine learning inspired by the brain. Learn about its significance in processing large amounts of structured and unstructured data, and its ability to handle complex algorithms.
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