ModelArts Service and (). The combination of services can easily deploy the model to "end"?

A.

OBS

B.

OCR

C.

ECS

D.

HiLens

TensorFlow only supports Python and R language

A.

True

B.

False

The TensorFlow framework does not support Windows systems.

A.

True

B.

False

AI Chips are divided into business applications and can be divided into?

A.

training

B.

GPU

C.

Model building

D.

reasoning

Code model.fit(mnist.train.inmage,mnist.train.labels.epochs=5)in of epochs Parameter representative?

A.

The entire training set will be trained 5 Times

B.

The entire test set will be tested 5 Times

C.

The entire training set will be divided into 6 Share

D.

The entire training set will be divided into 5 Share

The optimizer is an important part of training neural networks. The purpose of using the optimizer does not include which of the following:

A.

Speed up algorithm convergence

B.

Reduce the difficulty of manual parameter setting

C.

Avoid overfitting

D.

Avoid local extremes

Which is not a deep learning algorithm?

A.

Setr-encoder

B.

Convolutional neural networks

C.

Recurrent neural networks

D.

Support vector machine

Which of the following statements about passport recognition services are correct?

A.

country_code Country code representing the country where the passport was issued

B.

nationality Nationality of representative holder

C.

passport_number Representative passport number

D.

confidence Confidence information of related fields. The greater the confidence, the higher the reliability of the corresponding field identified this time. In a statistical sense, the greater the confidence, the higher the accuracy

Training error will reduce the accuracy of the model and produce under-fitting. How to improve the model fit? (Multiple choice)

A.

Increase the amount of data

B.

Feature Engineering

C.

Reduce regularization parameters

D.

Add features

The following evaluation indicators belonging to the regression algorithm are?

A.

Recall rate

B.

Confusion matrix

C.

Mean square error

D.

Accuracy