Neural Networks Quiz

What is a neural network?

• A type of programming language

• A series of algorithms that tries to mimic the human brain

• A type of application software

• A massive network of fast computers

What are individual nodes in a neural network called?

• axons

• somas

• nerves

• neurons

What is the purpose of activation function in neural networks?

• Speeds up network's learning ability

• Introduces linearity to the network

• Introduces non-linearity to the network

• Switches on the network

How many output layers are present in a neural network?

• 1

• 2

• 3

• any number

What is the role of hidden layer in a neural network architecture?

• Receive the features

• Perform the computations

• Learn the patterns

• Increase the speed of the network

How are neural networks used in image recognition?

• By learning from a large dataset of images and identifying patterns and features within the images

• By counting the number of objects in the images

• By using a pre-defined set of rules to recognize images

• By analyzing the color of the images

Natural language processing (NLP) applications today are using neural networks. True or False

• True

• False

Discuss the role of neural networks in autonomous vehicles.

• only used for entertainment purposes in autonomous vehicles.

• Neural networks are used for tasks such as object detection, lane keeping, and decision making.

• Neural networks have no role in autonomous vehicles

• For connecting a vehicle to the network of other vehicles

Describe the use of neural networks in medical diagnosis.

• Neural networks are used to perform surgeries in medical diagnosis.

• Neural networks are used to analyze complex medical data and assist in diagnosing diseases

• Neural networks are used to speed up medical diagnosis.

• Neural networks are used to replace doctors and medical equipment

How many hidden layers can a neural network have?

• It can have a minimum of five hidden layers.
• It can have a maximum of two hidden layers.

• It can only have one hidden layer.
• It can have any number of hidden layers.