
Deep Learning Lab
Quiz
•
Computers
•
University
•
Practice Problem
•
Easy
may phue
Used 6+ times
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10 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the main advantage of using convolutional neural networks (CNNs)?
They have lower numbers of layers
They are more interpretable
They can automatically detect important features
They are faster to train
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the purpose of the softmax function in neural networks?
To compute the loss
To convert logits to probabilities
To initialize the weight
To train the model
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is a neural network with multiple layers between the input and output layers called?
Single Layer Perceptron
Multi-layer Perceptron
Convolutional Neural Network
Recurrent Neural Network
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the primary purpose of the "flatten layer" in a neural network?
To add non-linearity to the model
To perform weighted-sum
To find the best weights and bias
To convert multi-dimensional input into a one-dimensional vector
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
This figure represents the semantic diagram of the Convolutional neural network (CNN). The first part (Part1) of CNN performs .................................
Classification
Feature extraction
Model Training
Validation
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
This figure represents the semantic diagram of the Convolutional neural network (CNN). The second part (Part2) of CNN performs .................................
Classification
Feature extraction
Model Training
Validation
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is a commonly used ratio for splitting data into training, validation, and test sets in machine/deep learning?
50% training, 25% validation, 25% test
60% training, 30% validation, 10% test
70% training, 20% validation, 10% test
80% training, 10% validation, 10% test
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