JDA-Azure-Module 2-Models

JDA-Azure-Module 2-Models

University

12 Qs

quiz-placeholder

Similar activities

Machine Learning

Machine Learning

University

15 Qs

AI Bootcamp [Quiz - 1]

AI Bootcamp [Quiz - 1]

University

10 Qs

AI 900 - pt 13

AI 900 - pt 13

University

12 Qs

DP-100 day 3

DP-100 day 3

University - Professional Development

10 Qs

Machine Learning

Machine Learning

5th Grade - Professional Development

16 Qs

AZ-900 Modulo 2

AZ-900 Modulo 2

KG - Professional Development

14 Qs

Machine learning 2024 Q1

Machine learning 2024 Q1

University

15 Qs

DAH2023_CH1: Introduction to Data Analytics (EOC)

DAH2023_CH1: Introduction to Data Analytics (EOC)

University

10 Qs

JDA-Azure-Module 2-Models

JDA-Azure-Module 2-Models

Assessment

Quiz

Computers

University

Easy

Created by

Rasha Ali

Used 12+ times

FREE Resource

12 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What is the name of the Microsoft model that is trained with huge volumes of captioned images from the Internet and includes both a language encoder and an image encoder?

Florence

Leonardo

Picasso

Vincent

2.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What type of neural network architecture is commonly used for computer vision tasks such as image classification and object detection?

Recurrent neural network (RNN)


Convolutional neural network (CNN)

Transformer

Autoencoder

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Identifying to which category an image belongs

Tagging

Captioning

Object detection

Image classification

4.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Locating individual objects within an image

Tagging

Captioning

Object detection

Image classification

5.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Generating appropriate descriptions of images

Tagging

Captioning

Object detection

Image classification

6.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Compiling a list of relevant text tags for an image based on its content

Tagging

Captioning

Object detection

Image classification

7.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

CNNs start with randomly assigned filter weights and then adjust them during the training process to reduce the loss

True

False

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?