UNET Segmentation in Keras TensorFlow | Semantic Segmentation | Deep Learning

Published: 02 February 2019
on channel: Idiot Developer

63,539

759

#IdiotDeveloper #ImageSegmentation #UNET
About: This video is all about the most popular and widely used Segmentation Model called UNET. UNET is built for Biomedical Image Segmentation. It is the base model for any segmentation task. It follows an encoder-decoder approach. It used skip connection to get the local information during the downsampling path and use it during the upsampling path.
The UNET is built-in TensorFlow using Keras API.

Support:
   / @idiotdeveloper
https://www.buymeacoffee.com/nikhilro...

CODE: https://github.com/nikhilroxtomar/UNe...
BLOG: https://idiotdeveloper.com/unet-segme...
DATASET: https://www.kaggle.com/c/data-science...
UNET PAPER: https://arxiv.org/abs/1505.04597

MY GEARS:
Intel i5-7400: https://amzn.to/3ilpq95
Gigabyte GA-B250M-D2V: https://amzn.to/3oPuntd
ZOTAC GeForce GTX 1060: https://amzn.to/2XNtsxn
LG 22MP68VQ 22 inch IPS Monitor: https://amzn.to/3soUKs5
Corsair VENGEANCE LPX 16GB: https://amzn.to/2LVyR2L
WD Green 240 GB SSD: https://amzn.to/3igt1Ft
1TB WD Blue: https://amzn.to/38I6uhw
Corsair VS550 550W: https://amzn.to/3nILHi3
Zebronics BT4440RUCF 4.1 Speakers: https://amzn.to/2XGu203
Segate 1TB Portable Hard Disk: https://amzn.to/3bF8YPG
Seagate Backup Plus Hub 8 TB External HDD: https://amzn.to/39wcqtj
Maono AU-A04 Condenser Microphone: https://amzn.to/35HHiWC
Techlicious 3.5mm Clip Microphone: https://amzn.to/3bERKSD
Redgear Dagger Headphones: https://amzn.to/3ssZNYr

FOLLOW ME ON:
BLOG: https://idiotdeveloper.com https://sciencetonight.com
FACEBOOK:   / idiotdeveloper
TWITTER:   / nikhilroxtomar
INSTAGRAM: https://instagram/nikhilroxtomar
PATREON:   / idiotdeveloper

Watch video UNET Segmentation in Keras TensorFlow | Semantic Segmentation | Deep Learning online without registration, duration hours minute second in high quality. This video was added by user Idiot Developer 02 February 2019, don't forget to share it with your friends and acquaintances, it has been viewed on our site 63,539 once and liked it 759 people.

692