Principal Component Analysis (PCA) is a statistical method. A set of variables that may be related to each other is transformed into a set of linearly related variables by orthogonal transformation The converted set of variables is called the principal component

• A.False
• B.True

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All kernels of the same convolutional layer in a convolutional neural network share a weight.

• A.TRUE
• B.FALSE

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Which of the following conditions do the randomized trials need to meet? (Multiple Choice)

• A.All results of the lest cannot be clarified in advance
• B.It Is not possible to determine which result will appear before conducting a test.
• C.It can be repeated under the same conditions.
• D.There may be more than 011e possible outcome for each trial. and all possible outcomes of the trial can be clarified m advance

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X, Y are random variables, C is a constant, the nature of the difference in the following options which is wrong? (Multiple choice)

• A.D(X+ Y)=D(X)+D(Y)
• B.D(XY)=D(X)D{Y)
• C.D(C)=O
• D.D(CX)=C'C'D()()

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What is in the category of artificial intelligence? (Multiple choice)

• A.None of the above
• B.Cognition
• C.Perception
• D.Action

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