
JDA-Azure-Module 2-Models
Authored by Rasha Ali
Computers
University
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12 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 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
1 min • 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
1 min • 1 pt
Identifying to which category an image belongs
Tagging
Captioning
Object detection
Image classification
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Locating individual objects within an image
Tagging
Captioning
Object detection
Image classification
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Generating appropriate descriptions of images
Tagging
Captioning
Object detection
Image classification
6.
MULTIPLE CHOICE QUESTION
1 min • 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
1 min • 1 pt
CNNs start with randomly assigned filter weights and then adjust them during the training process to reduce the loss
True
False
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