Today we are going to have a better understanding of U-NET. 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.
⭐️Free U-NET Course - [ Ссылка ]
🚀Full U-NET PRO Course - [Pre-Launching 4th July 2022]
----------------------------
⭐ AI Projects:
[ Ссылка ]
⭐ FREE Computer Vision Course :
[ Ссылка ]
⭐ JOIN our Membership to get access to Source Code: [ Ссылка ]
===Product Links===
✔️ Webcam - [ Ссылка ]
✔️ Deep Learning PC - [ Ссылка ]
✔️ OpenCV Python Books -[ Ссылка ]
✔️ Camera Gear - [ Ссылка ]
✔️ Drone Kit - [ Ссылка ]
✔️ Raspberry Pi 4 - [ Ссылка ]
✔️ OpenCV AI Kit - [ Ссылка ]
✔️ Roboflow - [ Ссылка ]
✔️ Arduino Electronics kit - [ Ссылка ]
------------------------------------------------------------
Whatsapp Computer Vision Tribe
►[ Ссылка ]
Chat to us on Discord
►[ Ссылка ]
Interact with us on Facebook
►[ Ссылка ]
Check my latest work on LinkedIn
►[ Ссылка ]
------------------------------------------------------------
#unet
#OpenCV
#computervision
