Teste de questionário 1 HCIA-AI

Teste de questionário 1 HCIA-AI

University

9 Qs

quiz-placeholder

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Teste de questionário 1 HCIA-AI

Teste de questionário 1 HCIA-AI

Assessment

Quiz

Computers

University

Medium

Created by

Matheus Cavalcante

Used 10+ times

FREE Resource

9 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

In tf.keras, which of the following functions can be used to train models (Simple Choice) (4. Deep Learning Overview)
Metrics
fit
Layer
Model

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

According to the definition of information entropy, what is the bit entropy of throwing a uniform coin? (Simple Choice) (4. Deep Learning Overview)
0
0.5
1
-1

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is not a feature of the Atlas 500 AI edge stations?(Simple Choice) (6. AI Computing Platform Atlas)
Strong computing
Easy deployment
High energy consumption
Cloud collaboration

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Logical reasoning is a part of AI. (1.OverviewIA)
True
False

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The HiAI platform only supports the development of Huawei mobile phones.(7. AI Development Platform Smart Devices)
True
False

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The HiAI mobile computing platform architecture supports various mainstream front-end frameworks, such as TensorFlow and Caffe. (7. AI Development Platform Smart Devices)
True
False

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following learning methods is most suitable for training machine learning models of chessboard games? (Simple Choice) (3.Machine Learning Overview)
Supervised learning
Unsupervised learning
Semi-supervised learning
Reinforcement learning

8.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

If a model has a small bias and a large variance on the test set, what is the problem with the model? (Simple Choice) (4. Deep Learning Overview)
Underfitting
Overfitting
Just fitting
Overfitting or underfitting

9.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following network layers does not need to be included in a convolutional neural network? (Simple Choice) (5. Deep Learning Open-Source Framework MindSPore)
Input layer
Convolutional layer
Pooling layer
Output layer