Attention Mechanisms

ES2745823258D2ABFAE1

In artificial neural networks, attention is a technique that is meant to mimic cognitive attention. The effect enhances some parts of the input data while diminishing other parts — the motivation being that the network should devote more focus to the important parts of the data, even though they may be small. Learning which part of the data is more important than another depends on the context, and this is trained by gradient descent.

Read more on Wikipedia

Have feedback on this skill? Let us know.

pattern

Job Postings Data

Top Companies Posting

Job Postings Analytics Loading Spinner

Top Job Titles

Job Postings Analytics Loading Spinner

Job Postings Trend

Job Postings Analytics Loading Spinner

Live Job Postings

Job Postings Analytics Loading Spinner