Neuron Network
Quiz
•
Computers
•
University
•
Practice Problem
•
Hard
Quân Nguyễn Minh
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14 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main disadvantage of using Attention in a neural network?
It can be computationally expensive to implement
It may not work well with all types of input data
It may lead to overfitting of the network
It requires a large amount of data for effective training
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary disadvantage of using MLP compared to other neural network architectures?
They are limited in their ability to process sequential data
They are not suitable for image recognition tasks
They require a large amount of data for effective training
They are more computationally expensive compared to other neural networks
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between a shallow neural network and a deep neural network?
A shallow neural network has only one hidden layer, while a deep neural network has multiple hidden layers
A shallow neural network has more neurons in the input and output layers, while a deep neural network has more neurons in the hidden layers
A shallow neural network is simpler and faster to train, while a deep neural network is more complex and slower to train
None of the above
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of activation functions in a neural network?
To determine the output of each neuron in the network
To introduce non-linearity into the network
To regulate the flow of information in the network
All of the above
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main advantage of using a neural network over other machine learning algorithms?
They are capable of handling complex and non-linear relationships between input and output variables
They are more suitable for image recognition tasks
They are easier to train compared to other algorithms
All of the above
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of regularization in a neural network?
To prevent overfitting of the network
To improve the accuracy of the network
To reduce the training time of the network
To reduce the training time of the network
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between a convolutional neural network (CNN) and a recurrent neural network (RNN)?
CNN is designed for image recognition tasks, while RNN is designed for sequential data processing
CNN uses pooling layers, while RNN does not
RNN is more computationally efficient compared to CNN
CNN is more complex compared to RNN
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