Neural Networks Quiz

Neural Networks Quiz

University

10 Qs

quiz-placeholder

Similar activities

Deep Learning Quiz

Deep Learning Quiz

University

15 Qs

Quiz 1

Quiz 1

University

15 Qs

AI Odyssey

AI Odyssey

University

15 Qs

Attention Is All You Need | Quiz

Attention Is All You Need | Quiz

University - Professional Development

10 Qs

Pengantar Jaringan Syaraf Tiruan (Bilingual)

Pengantar Jaringan Syaraf Tiruan (Bilingual)

University

8 Qs

C7-8: ANN & Image Processing

C7-8: ANN & Image Processing

12th Grade - University

10 Qs

Quiz RL - Deep Q Learning

Quiz RL - Deep Q Learning

University

10 Qs

AInnovate

AInnovate

University

10 Qs

Neural Networks Quiz

Neural Networks Quiz

Assessment

Quiz

Computers

University

Medium

Created by

Shilpi Bansal

Used 1+ times

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which type of neural network is based on the Hebbian learning rule?

Perceptron

Adaline

HebbNet

Multilayer Neural Network

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the basic building block of a neural network?

Dendrite

Neuron

Synapse

Axon

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which function is used to introduce non-linearity in a neural network?

Step

Tanh

Linear

Sigmoid

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the purpose of the loss function in a neural network?

To introduce non-linearity

To regularize the model

To measure the difference between predicted and actual values

To optimize hyperparameters

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What are the parameters that are set prior to the training process in a neural network called?

Architecture

Activation Functions

Loss Function

Hyper parameters

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which algorithm is used to update the weights of a neural network in the direction of the steepest descent?

Backpropagation

Adaline

Gradient Descent

Hebbian Learning

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the process of adjusting the weights of a neural network based on the error in the output?

Backpropagation

Hebbian Learning

Gradient Descent

Adaline

Create a free account and access millions of resources

Create resources
Host any resource
Get auto-graded reports
or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?