Huawei Exam H13-311_V3.5 Topic 1 Question 14 Discussion

Actual exam question for Huawei's H13-311_V3.5 exam

Question #: 14
Topic #: 1

Which of the following statements about datasets are true?

ATesting refers to a process that uses a trained model for prediction. The dataset, which is used for testing, is called a testing set, and each sample is called a test sample.

BA dataset generally has multiple dimensions. In each dimension, events or attributes that reflect the performance or nature of a sample in a particular aspect are called features.

CIn machine learning, a dataset is generally divided into a training set, validation set, and test set.

DWhen it comes to the machine learning process, the validation set and the test set are essentially the same.

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Suggested Answer: A, D

Feedforward neural networks (FNNs) are networks where information moves in only one direction---forward---from the input nodes through hidden layers to the output nodes. Both fully-connected neural networks (where each neuron in one layer connects to every neuron in the next) and convolutional neural networks (CNNs) (which have a specific architecture for image data) are examples of feedforward networks.

However, recurrent neural networks (RNNs) and Boltzmann machines are not feedforward networks. RNNs include loops where information can be fed back into previous layers, and Boltzmann machines involve undirected connections between units, making them a form of a stochastic network rather than a feedforward structure.

by Delisa at Jan 11, 2025, 07:23 PM

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16 days ago

I think statement A is true because testing uses a trained model for prediction.

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