Generative AI

Generative AI

University

50 Qs

quiz-placeholder

Similar activities

application development

application development

University

50 Qs

ICT (preparation)

ICT (preparation)

University

50 Qs

FINAL EXAM - Info Mgt 2022

FINAL EXAM - Info Mgt 2022

University

50 Qs

JARINGAN KOMPUTER

JARINGAN KOMPUTER

University

50 Qs

9628-09 City & Guilds Level 3 Award in Coding and Logic Quiz 3

9628-09 City & Guilds Level 3 Award in Coding and Logic Quiz 3

11th Grade - Professional Development

50 Qs

Analisis Data YPK

Analisis Data YPK

7th Grade - University

50 Qs

Quiz Latihan Soal-Soal UTS Pengantar Organisasi Komputer

Quiz Latihan Soal-Soal UTS Pengantar Organisasi Komputer

KG - University

50 Qs

pangkalan data lanjutan tingkatan 5

pangkalan data lanjutan tingkatan 5

1st Grade - University

50 Qs

Generative AI

Generative AI

Assessment

Quiz

Computers

University

Medium

Created by

Narmadha Naveen

Used 3+ times

FREE Resource

50 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which is the basic building block of deep learning?
Decision Tree
Random Forest
Artificial Neural Network
Support Vector Machine

2.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What is a perceptron?
A convolution layer
A single-layer neural network
A pooling layer
A type of data input

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What does a neural network's "weight" represent?
Processing speed
Adjustable parameter influencing output
Storage capacity
None of the above

4.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which activation function is commonly used in hidden layers?
Sigmoid
ReLU
Tanh
All of the above

5.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What is the main purpose of backpropagation in ANN?
Data normalization
Optimizing weights using error gradients
Feature selection
Input data encoding

6.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which optimization algorithm is widely used for training neural networks?
Gradient Descent
Nearest Neighbor
Apriori
K-Means

7.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

In deep learning, what is dropout used for?
Increase model complexity
Reduce overfitting
Data cleaning
Ensemble learning

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?