H13-311_V3.5 Exam Questions
368 real H13-311_V3.5 exam questions with expert-verified answers and explanations. Page 2 of 8.
- Question #51
In the process of deep learning model training, what are the common optimizers?
- Question #52
What model is not a cyclic neural network?
- Question #53
Huawei Ascend AI Chip is NPU (Neural network processor) One of the typical representatives.
- Question #54
Linear algebra is a branch of algebra that deals with linear problems. The linear relationship is that the relationship between exponential objects is expressed in ( ) times form?
- Question #55
The model composed of machine learning algorithms cannot represent the true data distribution function on a theoretical level. Just approach it.
- Question #56
X, Y are random variables, C is a constant, the nature of the difference in the following options which is wrong? (Multiple choice)
- Question #57
Which of the following does not belong to automatic hyperparameter optimization algorithm?
- Question #58
The following are the description of the distribution function. distribution law. and density function of random variables. which is incorrect?
- Question #59
Python is a fully object-oriented language. Which of the following options belong to the Python object? (Multiple Choice)
- Question #60
The following options do not belong to the scope of Huawei's full-stack solution are?
- Question #61
In which year was the first introduction of "artificial intelligence"?
- Question #62
Feature is the dimension that describes the characteristics of the sample. Regarding its interpretability in traditional machine learning and deep learning, the following statement...
- Question #63
Which of the following is not a specific technology of artificial intelligence?
- Question #64
What are the application scenarios for the break statement in the Python language? (Multiple Choice)
- Question #65
Artificial intelligence is a new technical science that studies and develops theories, methods and application systems for simulating, extending and extending human intelligence. I...
- Question #66
The loss function reflects the error between the target output and actual output of the neural network. The commonly used loss function in deep learning is:
- Question #67
Which of the following is an image label service URI?
- Question #68
Convolutional neural networks are more suitable for image recognition problems than cyclic neural networks.
- Question #69
In neural networks, weights are often shareD. Which of the following neural networks will share weights?
- Question #70
Python authors deliberately design very restrictive grammars that make bad programming habits (such as the next line of if statement not indented to the right) cannot be compiled
- Question #71
Which of the following items are included in the results returned when the face search service is successfully called?
- Question #72
tf.keras.datasets Can view keras The built-in data set.
- Question #73
TensorFlow2.0 of keras.preprocessing The role is?
- Question #74
HiAI Mobile computing platform provides rich upper-level functional services API, Can run efficiently on mobile devices.
- Question #75
In a neural network, knowing the weight and deviations of each neuron is the most important step. If you know the exact weights and deviations of neurons in some way, you can appro...
- Question #76
What are the mainstream deep learning open source tools? (Multiple choice)
- Question #77
Which of the following options belong to Tensorflow concept? (Multiple Choice)
- Question #78
The following evaluation indicators belonging to the regression algorithm are?
- Question #79
The Python list can be identified by `[]", and the default index of the first element from left to right is 1.
- Question #80
What is wrong description of the normal distribution?
- Question #81
The Python dictionary is identified by "{}", and the internal data consists of the key and its corresponding value.
- Question #82
Which of the following are solutions for the Huawei Cloud El industry scenario? (Multiple Choice)
- Question #83
Self-encoder is an unsupervised learning algorithm
- Question #84
Tensor Yes MindSpore The storage component of the data.
- Question #85
Which of the following options is not a tensor attribute?
- Question #86
On the premise of ensuring data privacy and security, federated learning utilizes different data sources to cooperatively train models to improve breakthroughs in data bottlenecks.
- Question #87
The following description of machine learning is correct?
- Question #88
The following about the standard RNN Model, the correct statement is?
- Question #89
None of the following options TensorFlow2.0. The supported operators are:
- Question #90
The face detection service will report an error when there is no face in the test image.
- Question #91
Which of the following steps in deep learning are automatically completed by the model?
- Question #92
About the image content review service returned when the call is successful suggestion Field, the correct statement is?
- Question #93
Which of the following are the elements of artificial intelligence? (Multiple choice)
- Question #94
In the environment preparation for invoking HUAWEI CLOUD services, which of the following does not require confirmation of installation?
- Question #95
Which of the following are the activation functions of deep learning algorithms?
- Question #96
What are the numeric types of Python? (Multiple Choice)
- Question #97
ModelArts Service and (). The combination of services can easily deploy the model to "end"?
- Question #98
Which of the following is not an artificial intelligence school?
- Question #99
What is not the optimization method in deep learning?
- Question #100
GAN is a deep learning model and one of the most promising methods for unsupervised learning in complex distribution in recent years.