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L1 with L2 Regularization is a method commonly used in traditional machine learning to reduce generalization errors. The following is about the two. The right way is:
Which of the following environments does not support to install the T11nsorFlow?
Which of the following about the dictionary in Python is correct? (Multiple Choice)
In neural networks, which of the following methods are used to update the parameters when training the network to minimize the loss function?
The Python language can use multiple statements on the same line, separated by commas ".".
The word recognition in the speech recognition service refers to the synchronous recognition of short speech. Upload the entire audio at once, and the recognition result will be returned in the response.
Atlas 800 AI There are multiple models of servers, of which the one based on the Kunpeng processor platform is?
The following about the general form identification service returned type The field statement is correct?
Which of the following are solutions for the Huawei Cloud El industry scenario? (Multiple Choice)
From the labeled historical data, we can predict that the retail sales of the next quarter will be in 20-30 Wan still 30-40 Ten thousand", What is the problem?
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 approximate any function
What is the best way to achieve this?
When dealing with actual problems, when should machine learning be used in the following situations?
X. Y are random variables. C is a constant. which of the following description about the nature of the mathematical expectation is incorrect?
There are many commercial applications for machine learning services.
What are the main business scenarios covered? (Multiple Choice)
According to Huawei Cloud EI Intelligent platform, which of the following solutions can be provided?
Which of the following neural network structures will share weights? (Multiple choice)
The continue statement in the Python language is used to jump out of this loop and then continue to execute the next round of statements.
In the face search service, if we want to delete a certain face set, we can use this code:
firs_cliet.get_v2().get_face_set_service().delete_face_set("**"), among them "**" is to fill in the actual face set name.
The face detection service will report an error when there is no face in the test image.
In deep learning, if the neural network has a large number of layers, the problem of gradient disappearance is more likely to occur. Strictly speaking, in which of the following links does the sample disappearance problem
occur?
According to the development process of the robot, it is usually divided into three generations, respectively are: (Multiple Choice)
TensorFlow2.0 of keras.metrics The methods that are not included in the built-in indicators are?
The constituent elements of the Python identifier include: numbers, letters, and underscores.
The Python dictionary is identified by “{}”, and the internal data consists of the key and its corresponding value.
Which of the following are the characteristics of the Python language? {Multiple choice)
Huawei Cloud El builds enterprise intelligence services based on three-tier services.
Which of the following options does not belong to Layer 3 services?
Corvolutional neural networks are more suitable for dealing with speech recognition problems
Generating a confrontation network is like a game system. The generator generates fake samples, and the discriminator judges whether it is true or false. Our ideal result is?
GAN is a deep learning model and one of the most promising methods for unsupervised learning in complex distribution in recent years.
CPU Mainly through increasing instructions, increasing the number of cores, etc. to improve AI performance.
GBDT Compared with the random forest algorithm, which of the following statements is wrong?
In random forest, what strategy is used to determine the outcome of the final ensemble model?
About Bayesian formula- P(WlX)=P(XlW)*P(W)/P(X) What is the correct description?
Training error will reduce the accuracy of the model and produce under-fitting. How to improve the model fit? (Multiple choice)
TESTED 07 May 2024
