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H13-311_V3.0 Exam Dumps - HCIA-AI V3.0

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Question # 33

Computer vision is the study of how to make computers "see".

A.

TRUE

B.

FALSE

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Question # 34

There are many types of neural networks in deep learning. The following neural network information is one-way propagation:

A.

LSTM

B.

Convolutional Neural Network

C.

Recurrent neural network

D.

GRU

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Question # 35

Linear regression in 3 The fitted surface in the dimension above dimension is?

A.

Curved surface

B.

flat

C.

Hyperplane

D.

Hypersurface

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Question # 36

The following belongs to TensorFlow2.0 The characteristic is?

A.

Introduce Keras interface

B.

Support static image mechanism

C.

Support more platforms and more languages

D.

Continue to be compatible Tensorflowl.x Related modules

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Question # 37

What are the results returned by the if conditional statements in the Python language? (Multiple choice)

A.

True

B.

0

C.

FALSE

D.

null

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Question # 38

TensorFlow 2.0 The way to view tensor dimensions in is?

A.

dimens

B.

dtype

C.

ndim

D.

device

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Question # 39

What are the commonly used gradient descent optimization functions? (Multiple Choice)

A.

Random gradient descent

B.

Adadelta

C.

Adagrad

D.

momentum

E.

RMSProp

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Question # 40

Feedforward neural network is a simple neural network, each neuron is arranged hierarchically, it is currently one of the most widely used and fastest growing artificial neural networks. The following statement about

feedforward neural networks is correct:

A.

Neurons with computing power are connected to the upper and lower layers

B.

Its input node has computing power

C.

Connecting neurons in the same layer

D.

Information only along-Pass through

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