In the deep learning network, the backpropagation algorithm is used to find the optimal parameters. What rules are used in the backpropagation algorithm to obtain the derivation layer by layer?

A.

Chain rule

B.

Cumulative rule

C.

Law of reciprocity

D.

Rule of Normalization

TensorFlow in keras The built-in optimizer of the module has?

A.

Adam

B.

SGD

C.

Adaboost

D.

Adadelta

Which of the following description 1s wrong about the image recognition cloud service?

A.

The service identifies specific objects such as skyscrapers, buildings, and ships.

B.

The service can also identify the sea, city, port and other scenes.

C.

The service can perform semantic analysis on the content in the image to extract labels with specific abstract meanings

D.

The service can provide object and scene labels and can also provide more conceptual labels.

Which description is wrong about the lambda function of the Python language?

A.

lambda is just an expression, and the function body is much simpler than def.

B.

The body of a lambda can be an expression or a block of code

C.

The lambda function can access the parameters in the global namespace

D.

The lambda function accepts only one parameter value

What is wrong about the image content review service?

A.

politics Test results for sensitive persons involved in politics

B.

terrorism Test results for political violence

C.

confidence Represents confidence, range 0-100

D.

labe1 Label representing each test result

When using TensorFlow2. 0 of keras When building a neural network with an interface, the network needs to be compiled. Which of the following methods should be used to work?

A.

compile

B.

write

C.

join

D.

fit

In a neural network, knowing the weight and deviations of each neuron is the most important step. If you know the exact weights and deviations of neurons in some way, you can approximate any function. What is the best way to achieve this?

A.

Random assignment, pray that they are correct

B.

Search for a combmat1on of weight and deviation until the best value 1s obtained

C.

Assign an initial value to iteratively update weight by checking the difference between the best value and the initial.

D.

The above is not correct

Which of the following is not part of the deep learning development framework?

A.

CNTK

B.

Keras

C.

SAFA

D.

MXNet

The training error will continue to decrease as the model complexity increases.

A.

TRUE

B.

FALSE

Atlas accelerate AI What processor is used for inference?

A.

Different 910 processor

B.

Different 310 processor

C.

GPU

D.

FPGA