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Regularization is an important and effective technique for reducing generalization errors in traditional machine learning. The following techniques are regular. The technology is:

A.

L1 Regularization

B.

L2 Regularization

C.

Dropout

D.

Momentum optimizer

Regarding the face search service, which of the following statements are correct?

A.

When there is no face set, you need to create a face set first, then add face data, and then search

B.

The size of a face set cannot exceed 10000 Pictures

C.

There is a dedicated interface to delete the specified face set

D.

There is a dedicated interface to delete the face data in a certain face set

What operating systems does Python support? (Multiple Choice)

A.

DOS

B.

Linux

C.

Mac OSX

D.

Windows

Where should the labeled data be placed in the confrontation generation network?

A.

As the output value of the generated model

B.

As the input value of the discriminant model

C.

As the output value of the discriminant model

D.

As input value for generative model

The commonly used functions for mathematical operations in Python are basically in lhe math module and the cmath module.

A.

True

B.

False

The loss function of logistic regression is the cross-entropy loss function.

A.

TRUE

B.

FALSE

Functions are well-organized, non-reusable code segments used to implement a single, or associated Function.

A.

True

B.

False

The label predicted by the regression algorithm is?

A.

Self-deformation

B.

Discrete

C.

Strain type

D.

Continuous

Python authors deliberately design very restrictive grammars that make bad programming habits (such as the next line of if statement not indented to the right) cannot be compiled

A.

True

B.

False

With a lot of sales data but no labels, companies want to identify VIP Customer, the following model Suitable?

A.

Logistic regression

B.

SVM

C.

K-Means

D.

Hierarchical clustering