Deep Learning Quiz

Which of the following is not a type of deep learning?

• Supervised learning

• Structured learning

• Unsupervised learning

• Hierarchical learning

Abigail, Aiden, and Liam are working on a project to develop a recommendation system for a music app. They decided to use machine learning for this task. Which kind of machine learning is deep learning, the method they are considering, mostly used with?

• Neural networks

• Linear regression

• Decision trees

• Support vector machines

In a multi-layer neural network, where is the hidden layer located?

• Between the input layer and the output layer

• After the output layer

• Parallel to the input layer

• Before the input layer

Anika, Hannah, and Lily are discussing about tasks that are easy for humans but difficult for computers. What task did they agree upon?

• Recognizing and understanding speech

• Writing essays

• Solving mathematical equations

• Playing video games

How does the information processed in a multi-layer neural network become with each added layer?

• More abstract & detailed

• More specific

• More complex

• Less detailed

What are deep learning models inspired by?

• Astronomical phenomena

• Social media platforms

• Biological nervous systems

• Computer programming languages

What kind of properties of biological brains make deep learning models incompatible with neuroscience evidences?

• Genetic properties

• Physical properties

• Chemical properties

• Structural and functional properties

What kind of license allows the use of content from Kiddle encyclopedia articles?

• Attribution-ShareAlike license

• Creative Commons license

• Public domain license

• All rights reserved license

What is the main advantage of using deep learning over traditional machine learning?

• It requires less data

• It is easier to implement

• It can automatically learn and improve from experience

• It is less computationally intensive

What is the main challenge in training deep learning models?

• They require a lot of computational power

• They are difficult to understand

• They are prone to overfitting

• All of the above