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问题 #1
PyTorch Which of the following functions does not have?
A. Inline kerascorrect
B. Support dynamic graph
C. Automatic derivative
D. GPU accelerate
问题 #2
Functions are well-organized, non-reusable code segments used to implement a single, or associated Function.
问题 #3
The image data of the passport recognition service is not needed base64 Coded.
问题 #4
There are a lot of data generated during the training of the neural network. What mechanism does TensorFlow use to avoid excessive input data?
A. Client
B. feed
C. placeholdercorrect
D. fetch
问题 #5
Faced with the challenge of achieving efficient distributed training for ultra-large-scale models, MindSpore is handled as?
A. Automatic parallelcorrect
B. Serial
C. Manual parallel
问题 #6
Huawei's full-stack AI solution includes Ascend, MindSpore, and ModelArts. (Enter an acronym.)
A. AAII
B. BAIIS
C. CCANN
D. DNone of the above
问题 #7
Which of the following options is not the session mode used by TensorFlow?
A. Explicitly call the session to generate function
B. Explicitly call the session to close function
C. Through the Python context manager
D. Multiple POST queriescorrect
问题 #8
The activation function plays an important role in the neural network model learning and understanding of very complex problems. The following statement about the activation function is correct.
A. Activation functions are linear functions
B. Activation functions are non-linear functionscorrect
C. The activation function is partly a nonlinear function, partly a linear function
D. Most of the activation functions are nonlinear functions, and a few are linear functions
问题 #9
The commonly used functions for mathematical operations in Python are basically in the math module and the cmath module.
问题 #10
In the process of training the neural network, we use the gradient descent method to continuously update which value, which makes the loss Function minimization?
A. Number of samples
B. Eigenvalues
C. Hyperparameter
D. parametercorrect
问题 #11
As the following, what are the Python language design philosophy? (Multiple Choice)
A. Beautifulcorrect
B. Expensive
C. Explicitcorrect
D. Simplecorrect
问题 #12
What people say about neural networks is wrong?
A. As the number of hidden layers of the neural network increases, the classification ability of the model gradually weakenscorrect
B. The limitation of a single-layer perceptron is that it cannot solve the XOR problem
C. The feedforward neural network can be represented by a directed acyclic graph
D. There is no connection between neurons in the same layer of the feedforward neural network
问题 #13
As we understand more about machine learning, we will find that its scope is constantly changing over time.
问题 #14
The three stages of artificial intelligence include computational intelligence, () , Cognitive intelligence.
A. Weak artificial intelligence
B. Perceptual intelligence
C. Behavioral intelligence
D. Strong artificial intelligence
问题 #15
The loss function of logistic regression is the cross-entropy loss function.
问题 #16
In machine learning, which of the following inputs is required for model training and prediction?
A. ANeural network
B. BHistorical data
C. CTraining algorithm
D. DManual program
问题 #17
In May 1997, the famous "Human-Machine Wars" final computer defeated Kasparov, the world chess king, with a total score of 3.5 to 2.5. Is this computer called?
A. Dark bluecorrect
B. Dark green
C. Ponder
D. Blue sky
问题 #18
Which of the following is not included in the recurrent neural network usage scenario?
A. Machine translation
B. Speech recognition
C. Image style migrationcorrect
D. Text generation
问题 #19
Huawei's chip support HUAWEI HiAI Which module of?
A. HiAI Engine
B. HiAI Foundationcorrect
C. HiAI Framework
D. HiAI Service
问题 #20
Artificial intelligence is the research and development of theories, methods and application systems used to simulate, extend and expand human intelligence Of a new technological science.
问题 #21
GBDT Compared with the random forest algorithm, which of the following statements is wrong?
A. GBDT Algorithm is easier to underfit than random forest
B. Random forest is calculated in parallel, while GBDT Can't
C. GBDT Algorithm is easier to overfit than random forestcorrect
D. GBDT And random forest are built on CART Based on the tree
问题 #22
As the cornerstone of Huawei's full - stack, all - scenario AI solution, it provides modules, boards, and servers powered by the Ascend AI processor to meet customer demand for computing power in all scenarios.
A. Atlas
B. CANN
C. MindSpore
D. ModelArts
问题 #23
Faced with the challenge of achieving efficient distributed training for ultra-large-scale models, MindSpore is handled as?
A. Automatic parallelcorrect
B. Serial
C. Manual parallel
问题 #24
What is the subject of artificial intelligence?
A. Mathematics and Physiology
B. Psychology and Physiology
C. Linguistics
D. Comprehensive interdisciplinary and marginal disciplinescorrect
问题 #25
In machine learning, what input the model needs to train itself and predict the unknown?
A. Manual procedure
B. Neural Networks
C. Training algorithm
D. historical datacorrect
问题 #26
The following code was used when compiling the model: model.compile(optimizer='Adam,loss='categorical.crossentropy',metrics=[tf.keras.metrics.accuracy]), currently using evaluate When the method evaluates the model, which of the following indicators will be output? (Multiple choice)
A. accuracycorrect
B. categorical_ 1oss
C. losscorrect
D. categorical accuracy
问题 #27
Which of the following is not included in the recurrent neural network usage scenario?
A. Machine translation
B. Speech recognition
C. Image style migrationcorrect
D. Text generation
问题 #28
TensorF1ow Which of the following companies first developed?
A. Oracle
B. Facebook
C. Nvidia
D. Googlecorrect
问题 #29
What are the service categories included in Huawei Cloud EI Enterprise Intelligence? (Multiple Choice)
A. EI visual cognitioncorrect
B. EI online games
C. EI speech semanticscorrect
D. EI industry scenecorrect
问题 #30
In the process of training the neural network, we use the gradient descent method to continuously update which value, which makes the loss Function minimization?
A. Eigenvalues
B. Hyperparameter
C. parameter
D. Number of samples