Markov chain is a discrete event stochastic process with Markov properties in exponential science.

Markov chain is a discrete event stochastic process with Markov properties in exponential science.A . TRUEB . FALSEView AnswerAnswer: A

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Dropout is to randomly discard a certain proportion of sample data during model training.

Dropout is to randomly discard a certain proportion of sample data during model training.A . TRUEB . FALSEView AnswerAnswer: B

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When taking light, the face is relatively dark. Use gamma correction to enhance the image to achieve a clear light effect.

When taking light, the face is relatively dark. Use gamma correction to enhance the image to achieve a clear light effect. Which of the Y limit can be selected. (Single choice)A . 1B . 0C . 0.5D . 2View AnswerAnswer: A

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In the Gaussian mixture model, since the distribution of each sample point is unknown, it is impossible to use the maximum function to solve the parameters.

In the Gaussian mixture model, since the distribution of each sample point is unknown, it is impossible to use the maximum function to solve the parameters.A . TRUEB . FALSEView AnswerAnswer: A

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Which of the following options is not a commonly used algorithm for keyword extraction? (Single choice)

Which of the following options is not a commonly used algorithm for keyword extraction? (Single choice)A . TF-IDFB . TextRankC . SSAD . LDAView AnswerAnswer: C

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Which of the following templates can achieve the sharpness of the image?

Which of the following templates can achieve the sharpness of the image?A . 010 111 010B . 010 131 010C . 0-10 -14-1 0-10D . 0-10 -16-1 0-10View AnswerAnswer: D

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What is the difficulty of speech recognition?

What is the difficulty of speech recognition?A . Dialect recognitionB . Multiplayer scene recognitionC . High noise field identificationD . Recognition of far-field gram windView AnswerAnswer: A,B,C,D

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Which network structure does the convolutional neural network include?

Which network structure does the convolutional neural network include?A . Output layerB . Convolutional layerC . Fully connected layerD . Pooling layerView AnswerAnswer: B,C,D

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The accuracy of the target detection position can be evaluated by the IOD value. The iout calculation method is to find the ratio of the union and intersection of the true annotations of the detection results.

The accuracy of the target detection position can be evaluated by the IOD value. The iout calculation method is to find the ratio of the union and intersection of the true annotations of the detection results.A . TRUEB . FALSEView AnswerAnswer: B

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Which operation is the best for noise reduction?

There are a lot of small noises in a photo during storage. Which operation is the best for noise reduction?A . Laplace filterB . Gaussian filteringC . Median filteringD . Mean filteringView AnswerAnswer: C

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