LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "tuning deep" as a keyword



Tuning deep brain stimulation related depression by frequency modulation: A case report

Sign Up to like & get
recommendations! Published in 2020 at "Brain Stimulation"

DOI: 10.1016/j.brs.2020.06.006

Abstract: This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive… read more here.

Keywords: deep brain; stimulation related; brain; tuning deep ... See more keywords
Photo by impulsq from unsplash

Fine-Tuning Deep Learning by Crowd Participation

Sign Up to like & get
recommendations! Published in 2018 at "IEEE Pulse"

DOI: 10.1109/mpul.2018.2866356

Abstract: One of the major challenges currently facing researchers in applying deep learning (DL) models to medical image analysis is the limited amount of annotated data. Collecting such ground-truth annotations requires domain knowledge, cost, and time,… read more here.

Keywords: fine tuning; learning; deep learning; crowd participation ... See more keywords

Fine Tuning of Deep Contexts Toward Improved Perceptual Quality of In-Paintings.

Sign Up to like & get
recommendations! Published in 2021 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2021.3105398

Abstract: Over the recent years, a number of deep learning approaches are successfully introduced to tackle the problem of image in-painting for achieving better perceptual effects. However, there still exist obvious hole-edge artifacts in these deep… read more here.

Keywords: quality; tuning deep; deep contexts; perceptual quality ... See more keywords

GreenNAS: A Green Approach to the Hyperparameters Tuning in Deep Learning

Sign Up to like & get
recommendations! Published in 2024 at "Mathematics"

DOI: 10.3390/math12060850

Abstract: This paper discusses the challenges of the hyperparameter tuning in deep learning models and proposes a green approach to the neural architecture search process that minimizes its environmental impact. The traditional approach of neural architecture… read more here.

Keywords: deep learning; tuning deep; green approach; performance ... See more keywords