UNet for Image Segmentation - What You Need To Know! - Computer Vision

UNet for Image Segmentation - What You Need To Know! - Computer Vision. UNet is a fully convolutional neural network for image processing and it is aimed at image segmentation also called semantic segmentation. It is part of the broader topic of computer vision and basically some sort of image processing.

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Awesome Data science without much math and everything you need to know to deploy your machine learning models!
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All videos will be easy to follow and I'll try to reduce the complicated mathematical stuff to a minimum because I believe that you don't need to know how a CPU works to be able to operate a PC...

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[hamzaaslam]

That is how you explain analytically, proper analytical approach, sad to see only 4.45K subscribers, dont worry i will share it

[eyslb]

You are the best explicator I've seen so far. Thank you!

[amineziad]

You have a good explanation but your intro is long

[SassePhoto]

Gruss aus Vancouver! Ausgezeichnet gemacht, klipp und klar, besten Dank!

[zg]

extremely dense and clear, thank you sir

[mayankkumarshaw]

Greatly explained! Thank you. Can you make a video about RBMs and Deep Belief Networks

[riwinzo]

Thank you for the explanation. Helped a lot.

[HafeezUllah]

I got the basic intuition with this video. thank you.

[fantazzmagazz]

Nice and easy overview of Ronnebergers work

[gampangji]

Thank you so much, I need next Example Project

[abdelrahmanashraf]

Extremely Helpful thanks a lot <3. Subscribed without hesitation.

[lamiakazidali]

Thak you for this explanation, I would like to learn more about the relationship between the gradient and the mask at the output, what I know, is that the gradient serves to draw points of mask at the output, then is there another relationship between the gradient and the mask?

[LintoGeorge-IIITK]

This video is very nice and well explained. very useful. will you please make a video in the topic W-Net: A Deep Model for Fully Unsupervised Image Segmentation

[senaraul]

Awesome video and very well explained. Maybe in the next videos, you should not switch between you and the architecture of the network, because that confuses me a little.

[amitsharma]

Is it me or the volume of the video is lower than usual?

[SuperLordee]

Hey may I ask what are these channels? I didn‘t understand that part.

[KrampflOtto]

Wäre schön, wenn du die Up-Convolution erklären würdest, das macht nämlich keiner...

[dipankarnandi]

Thank you for the explanation. Helped a lot.
Just a question if you could cover this topic in one of your videos- What is Anomaly detection?? Like for example detecting defects on surfaces... can u-net be useful there?

[slingshot]

please don't take too much time in intro

[anjaliram]

Boah danke für dieses Video, rettest gerade meinen