Attention-based deep neural network increases detection capability in sonar systems #AI

#A.I. In underwater acoustics, deep learning may improve sonar systems to help detect ships and submarines in distress or in restricted waters. However, noise interference can be a challenge. Researchers now explore an attention-based deep neural network to tackle this problem. They tested two ships, comparing their results with a typical deep neural network, and found the ABNN increases its predictions considerably as it gravitates toward the features closely correlated with the training goals.

via https://AIupNow.com

, Khareem Sudlow