All H13-321_V2.5 Test Inside Huawei Questions

In NLP:

Text classification(e.g., sentiment analysis) predicts a single label for the entire input sequence.

Sequence labeling(e.g., Named Entity Recognition, Part-of-Speech tagging) produces an output label for each token or position in the input sequence.This distinction is important for selecting appropriate model architectures and loss functions.

Exact Extract from HCIP-AI EI Developer V2.5:

"Text classification assigns one label to the whole text, whereas sequence labeling assigns a label to each token in the sequence."

Morphological processing in image analysis is used to process binary or grayscale images based on shape.

Dilation:Expands object boundaries, useful for filling small holes.

Erosion:Shrinks object boundaries, useful for removing noise.By combining them:

Opening:Erosion followed by dilation (removes small objects/noise).

Closing:Dilation followed by erosion (fills small holes).

Exact Extract from HCIP-AI EI Developer V2.5:

"Morphological processing is based on dilation and erosion. Opening and closing are composite operations derived from these two to handle noise removal and hole filling."