ATI quiz

ATI quiz

University

100 Qs

quiz-placeholder

Similar activities

UJIAN AKHIR SEMESTER PEMROGRAMAN DASAR

UJIAN AKHIR SEMESTER PEMROGRAMAN DASAR

University

100 Qs

COMPUTER TECHNOLOGY

COMPUTER TECHNOLOGY

University

100 Qs

Computer Awareness Marathon

Computer Awareness Marathon

University

100 Qs

Cloud Computing

Cloud Computing

University

100 Qs

CNE_MCQ

CNE_MCQ

University

105 Qs

CPSC Exam review

CPSC Exam review

University

100 Qs

CCNA

CCNA

University

95 Qs

ICT practica ENU

ICT practica ENU

University

101 Qs

ATI quiz

ATI quiz

Assessment

Quiz

Computers

University

Easy

Created by

Tuấn Nguyễn

Used 4+ times

FREE Resource

100 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following activation functions can lead to vanishing gradients?

ReLU

Tanh

  1.  Leaky ReLU

  1.  None of the above

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is true about Batchnorm?

Batchnorm is another way of performing dropout

Batchnorm makes training faster

In Batchnorm, the mean is computed over the features

Batchnorm is a non-linear transformation to center the dataset around the origin

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When should multi-task learning be used?

When your problem involves more than one class label

When two tasks have the same dataset

When you have a small amount of data for a particular task that would benefit from the large dataset of another task

When the tasks have datasets of different formats (text and images).

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Error Analysis?

The process of analyzing the performance of a model through metrics such as precision, recall or F1-score.

The process of scanning mis-classified examples to identify weaknesses of a model

The process of tuning hyperparameters to reduce the loss function during training

 The process of identifying which parts of your model contributed to the error

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a non-iterative method to generate adversarial examples?

  1.  Non-Saturating Cost Method

Input Optimization Method

Adversarial Training

Logit Pairing

  1.  Fast Gradient Sign Method

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which, if any, of the following propositions is true about fully-connected neural networks (FCNN)?

A FCNN with only linear activations is a linear network.

In a FCNN, there are connections between neurons of a same layer.

In a FCNN, the most common weight initialization scheme is the Zero initialization, because it leads to faster and more robust training

None of the above

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many layers Deep learning algorithms are constructed?

2

3

4

5

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?