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Which of the following can improve the computational efficiency of the neural network model? (Multjple choice)
In the process of training the neural network, our goal is to keep the loss function reduced. Which of the following methods do we usually use to minimize the loss function?
The three stages of artificial intelligence include computational intelligence, () , Cognitive intelligence.
twenty two.Among machine learning algorithms, which of the following is not unsupervised learning?
The Python language can use the "#" at the beginning of a single line of code for code comments .
Python tuples are identified by "()'' and internal elements are separated by ":".
Deep learning is different from machine learning and there are no unsupervised algorithms
Which of the following conditions is not a condition that n-fold bernoulli trials needs to meet?
Which is the correct description of the python creation function? (Multiple choice}
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?
Bagging In integrated learning, the relationship between each base learner is?
According to Huawei Cloud EI Intelligent platform, which of the following solutions can be provided?
In the classic convolutional neural network model,Softmax What hidden layer does the function follow?
Which of the following descriptions about Python program are correct? (Multiple choice)
A The program consists of modules
8 Module contains statements
C statement contains an expression
D Expressions create and process objects
Which of the following functions can numerically stabilize overflow and underflow?
The timestamps in the Python language- are represented by how long (in seconds) elapsed from midnight (epoch) on January 1, 1970
TensorFlow2.0 middle Keras The three main advantages of the interface are user-friendly, modular and Combination, easy to expand.
Feature is the dimension that describes the characteristics of the sample. Regarding its interpretability in traditional machine learning and deep learning, the following statement is correct:
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.
The Python list can be identified by ‘[]”, and the default index of the first element from left to right is 1.
Ascend among the following options 310 And Shengteng 910 The attributes are the same?
What are the mainstream deep learning open source tools? (Multiple choice)
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?
The time interval in the Python language is a Hoating-point fraction in seconds
When dealing with actual problems, when should machine learning be used in the following situations?
Deep learning algorithms can be divided into supervised learning and unsupervised learning.
When training the network of God, we often encounter many problems. For the problem of vanishing gradient, we can choose to make. Which of the following functions to alleviate the problem?
Which of the following neural network structures will share weights? (Multiple choice)
Reducing the gap between the training error and the test error will result in over-fitting How to prevent over-fitting? (Multiple Choice)
X, Y are random variables, C is a constant, the nature of the difference in the following options which is wrong? (Multiple choice)
About the image content review service returned when the call is successful suggestion Field, the correct statement is?
What is the incorrect relationship between neural networks and deep learning?
There are many types of neural networks in deep learning. The following neural network information is one-way propagation:
Huawei AI The whole scenario includes public cloud, private cloud, various edge computing, IoT industry terminals and consumer. The deployment environment of terminal, edge, and cloud for fee-based terminals.
Huawei Machine learning Service MLS MLS is a one-stop platform that supports the entire process of data analysis. Which of the following is not a feature of MLS?
TESTED 27 Apr 2024
