INTUITION behind the UNET ...for Image segmentation
U-NET is a convolutional neural network architecture that was developed for biomedical image segmentation by Olaf Ronneberger in the year 2015, at the University of Freiburg, Germany. It is one of the most popularly used architectures for any segmentation task. It is a fully convolutional neural network that is designed to learn from fewer training samples.
Follow us on Instagram:
/ biomedical_basics
⭕ Subscribe:
It takes a lot of time in creating these videos, so please subscribe, it would mean a lot
✅ Subscribe : / @biomedicalaibasics
⭕Playlists:
✅Deep Learning in MATLAB :
• Deep Learning in MATLAB
✅Python Biomedical Image Processing
• Python Biomedical Image Processing
✅Deep Learning
• Deep Learning
Смотрите видео INTUITION behind the UNET ...for Image segmentation онлайн без регистрации, длительностью часов минут секунд в хорошем качестве. Это видео добавил пользователь Biomedical AI Basics 10 Июнь 2024, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 18 раз и оно понравилось людям.