Which of the following statements is false about feedforward neural networks?

Each neuron is connected to all neurons at the previous layer.

A unidirectional multi-layer structure is adopted. Each layer includes several neurons, and those in the same layer are not connected to each other. Only unidirectional inter-layer information transmission is supported.

Nodes at each hidden layer represent neurons that provide the computing function.

Input nodes do not provide the computing function and are used to represent only the element values of an input vector.

Each neuron is connected to all neurons at the previous layer.

Which of the following are feedforward neural networks?

Fully-connected neural networks

Which of the following statements is false about gradient descent algorithms?

When GPUs are used for parallel computing, the mini-batch gradient descent (MBGD) takes less time than the stochastic gradient descent (SGD) to complete an epoch.

Each time the global gradient updates its weight, all training samples need to be calculated.

When GPUs are used for parallel computing, the mini-batch gradient descent (MBGD) takes less time than the stochastic gradient descent (SGD) to complete an epoch.

The global gradient descent is relatively stable, which helps the model converge to the global extremum.

When there are too many samples and GPUs are not used for parallel computing, the convergence process of the global gradient algorithm is time-consuming.

Which of the following is NOT a key feature that enables all-scenario deployment and collaboration for MindSpore?

Federal meta-learning enables real-time, coordinated model updates between different devices, and across the device and cloud.

Data and computing graphs are transmitted to Ascend AI Processors.

Federal meta-learning enables real-time, coordinated model updates between different devices, and across the device and cloud.

Unified model IR delivers a consistent deployment experience.

Graph optimization based on a software-hardware synergy shields the differences between scenarios.

Which of the following statements are false about softmax and logistic?

In terms of probability, softmax modeling uses the polynomial distribution, whereas logistic modeling uses the binomial distribution.

In the multi-class classification of softmax regression, the output classes are not mutually exclusive. That is, the word 'Apple' belongs to both the 'fruit' and '3C' classes.

In terms of probability, softmax modeling uses the polynomial distribution, whereas logistic modeling uses the binomial distribution.

Multiple logistic regressions can be combined to achieve multi-class classification effects.

Logistic is used for binary classification problems, whereas softmax is used for multi-class classification problems.

In the multi-class classification of softmax regression, the output classes are not mutually exclusive. That is, the word 'Apple' belongs to both the 'fruit' and '3C' classes.

Which of the following functions are provided by the nn module of MindSpore?

Optimizers such as Momentum and Adam

Loss functions such as MSELoss and SoftmaxCrossEntropyWithLogits

Hyperparameter search modes such as GridSearch and RandomSearch

Model evaluation indicators such as F1 Score and AUC

Optimizers such as Momentum and Adam

Loss functions such as MSELoss and SoftmaxCrossEntropyWithLogits

Huawei Cloud ModelArts provides ModelBox for device-edge-cloud joint development. Which of the following are its optimization policies?

Automatic segmentation of operators

Which of the following does not belong to the process for constructing a knowledge graph?

Determining the target domain of the knowledge graph

Huawei H13-311_V3.5 Practice Test 2 - Free Online Exam Prep & Questions

Spam

Selling illegal goods, money scams etc.

Hate Speech

Serious attack on a group.

Harassment and bullying

Harassing an individual (including doxing)

Harmful activities

Threatening or glorifying violence or serious harm, including self-harm

Adult content (Consensual)

Nudity/Sexual content

Sexual exploitation and abuse (child safety)

Sexually explicit or suggestive imagery or writing involving minors

Sexual exploitation and abuse (adults and animals)

Sexually explicit or suggestive imagery or writing involving non-consenting adults or non-humans

Plagiarism

Reusing content without attribution (link and blockquotes)

Poorly written

Not in English or has very bad formatting, grammar, and spelling

Inappropriate credential

Author's credential is offensive, spam, or impersonation

Other

Ex. Illegal content, incomplete question...

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