Neural Networks Explained Simply - Quiz

Question 1

What is a neural network?

A type of machine learning model made from connected computational units A database for storing training data A traditional computer program containing only fixed rules A physical copy of the human brain

Question 2

What is the role of weights in a neural network?

They determine how strongly different inputs influence calculations They store every training example exactly They control the physical temperature of the computer They replace the training data

Question 3

What is the purpose of hidden layers?

They allow information to be stored permanently on a hard drive They transform information and help the network learn complex patterns They prevent the network from producing an output They are only used to display the final answer

Question 4

What happens to neural network parameters during training?

The parameters are adjusted so the network becomes better at its task All parameters are deleted after every example The network stops using data The network automatically becomes conscious

Question 5

What does deep learning generally refer to?

Machine learning using neural networks with multiple layers A system that uses no training data A computer with several physical processors A neural network containing exactly two neurons