great explanation with using "entropy" term, so easy to understand

Thank you for such a well presented example of the calculation! Really made the concept easier to understand.

Thank you! Going through your videos has been an immense help for me in securing an internship!

@DigitalSreeni

3 жыл бұрын

Glad to know and happy to help. Good luck with your internship.

I have watched only 4 minutes till now but within that time I understood that the video is going to be interesting. greak work 🔥

Great explanation. Thank you for making it simple.

Amazing. video. Your explanations are so thorough and on to the point!

@DigitalSreeni

2 жыл бұрын

Glad you think so!

Great video. I needed a refresh in the concept and it was perfect!

@DigitalSreeni

Жыл бұрын

Glad it was helpful!

You are doing a great job. Thank you very much for your efforts.

@DigitalSreeni

2 жыл бұрын

Thanks and welcome

Awesome explanation, you were my hero for today :D

Thanks Sreeni! Crystal-clear explanation that doesn't dumb things down -- or make them hard to understand for the sake of showing it's a hard problem.

That was really useful! Thanks a lot

Excellent tutorial! Thank you!

@DigitalSreeni

11 ай бұрын

You're very welcome!

sreeni sir ,thanks ✨✨✨✨

Thank you, much needed video :)

@DigitalSreeni

3 жыл бұрын

You're welcome 😊

Thank you for this video really helpful

Really good!!

@DigitalSreeni

8 ай бұрын

Glad you think so!

Great video! Thank you

@DigitalSreeni

3 жыл бұрын

Glad you liked it!

Thank you soooo very much.

Hey, great stuff! Im working with some of your earlier code from U-Net from video 207. Im following along but using personnel imagery that is RGB instead of the Mitochondria grayscale. How do I set the channels to 3? And how when I select a random image, how do I display it as RGB, as opposed to cmap='gray'

Great video

@DigitalSreeni

3 жыл бұрын

Thanks!

awesome!

thank you!

your videos are really

Do we use it in Yolo object detection?

Thank you! please make videos about GAN for medical image segmentation sir

u r totally amazing!!

@DigitalSreeni

2 жыл бұрын

Thank you so much!!

감사합니다.

@DigitalSreeni

2 жыл бұрын

Thank you very much for being generous.

👌

Thanks!

@DigitalSreeni

4 ай бұрын

Thank you very much.

bless u

what is ti in the equation

Thanks Dr from amazing stuff. By the way, I am interested in cell segmentation in NAFLD case, using mask-rcnn, please direct me to any of your already existing video on your channel. Respect from JP.

Danke!

@DigitalSreeni

2 жыл бұрын

Thank you very much for your kind contribution. Danke Schön

Thanks

@DigitalSreeni

2 жыл бұрын

Thank you very much.

Thanks for the video! I've been following your channel for a while and it has been really helpful. I have a question about a binary cross-entropy problem i'm into: what means that the loss function decreases to 0.07 more less but accuracy doesn't increase over 0.4?? It have something to do with the data??? Sorry, i'm just new in deep learning. Thanks in advance!

@nathalieroos1999

3 жыл бұрын

Hi, it could be possible that accuracy is not the best metric for your problem :)

@theoverseer1289

3 жыл бұрын

@@nathalieroos1999 Thanks! And how is that? What can be those metrics?

@nathalieroos1999

3 жыл бұрын

@@theoverseer1289 like for example in the problem I'm dealing with I have a big class imbalance, I only have a few pixels labelled 1 in a batch, so the accuracy might be high but that might be because it is very good in predicting the 0 label (from which they are a lot more), so I might use the mean IoU or true positives as a metric. If I were you I would just play around with some metrics and see if they improve when your loss function decreases 😊

I have been watching episodes 73ff and 204ff - $2 to express my appreciation

@DigitalSreeni

Жыл бұрын

Thanks for your appreciation Peter. I hope you'll find other videos also to be useful / educational.

As always, why look at another channel to understand these things. Thanks for the plain English

@DigitalSreeni

3 жыл бұрын

My pleasure!

If y's are known and only p's are unknown then this is maximum likelihood.

Thanks!

@DigitalSreeni

2 жыл бұрын

Thank you very much Vivek. Please keep watching...

Danke!

@DigitalSreeni

2 жыл бұрын

Many thanks Manuel for being very generous. Please keep watching.

@manuelpopp1687

2 жыл бұрын

Thank you for producing these educational videos!