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Tips Tricks 15 - Understanding Binary Cross-Entropy loss

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DigitalSreeni

DigitalSreeni

Күн бұрын

Пікірлер: 62
@ankitvaghasiya3789
@ankitvaghasiya3789 Ай бұрын
great explanation with using "entropy" term, so easy to understand
@user-iw6bv9xq9e
@user-iw6bv9xq9e 9 ай бұрын
I have watched only 4 minutes till now but within that time I understood that the video is going to be interesting. greak work 🔥
@ishanaphale6373
@ishanaphale6373 3 жыл бұрын
Thank you! Going through your videos has been an immense help for me in securing an internship!
@DigitalSreeni
@DigitalSreeni 3 жыл бұрын
Glad to know and happy to help. Good luck with your internship.
@adriandip8448
@adriandip8448 2 жыл бұрын
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.
@pablouribe1522
@pablouribe1522 Жыл бұрын
Great video. I needed a refresh in the concept and it was perfect!
@DigitalSreeni
@DigitalSreeni Жыл бұрын
Glad it was helpful!
@wessauder7708
@wessauder7708 2 жыл бұрын
Thank you for such a well presented example of the calculation! Really made the concept easier to understand.
@jeehunkang5648
@jeehunkang5648 2 жыл бұрын
Amazing. video. Your explanations are so thorough and on to the point!
@DigitalSreeni
@DigitalSreeni 2 жыл бұрын
Glad you think so!
@noorabentaher1295
@noorabentaher1295 2 жыл бұрын
You are doing a great job. Thank you very much for your efforts.
@DigitalSreeni
@DigitalSreeni 2 жыл бұрын
Thanks and welcome
@handsome_seagull
@handsome_seagull Жыл бұрын
Awesome explanation, you were my hero for today :D
@harisjoseph117
@harisjoseph117 2 жыл бұрын
Great explanation. Thank you for making it simple.
@sann6688
@sann6688 2 жыл бұрын
That was really useful! Thanks a lot
@AnasHawasli
@AnasHawasli 2 ай бұрын
Thank you for this video really helpful
@inteligenciamilgrau
@inteligenciamilgrau 8 ай бұрын
Really good!!
@DigitalSreeni
@DigitalSreeni 8 ай бұрын
Glad you think so!
@kevian182
@kevian182 Жыл бұрын
Excellent tutorial! Thank you!
@DigitalSreeni
@DigitalSreeni Жыл бұрын
You're very welcome!
@rameshwarsingh5859
@rameshwarsingh5859 3 жыл бұрын
sreeni sir ,thanks ✨✨✨✨
@pbberlin
@pbberlin 2 жыл бұрын
I have been watching episodes 73ff and 204ff - $2 to express my appreciation
@DigitalSreeni
@DigitalSreeni 2 жыл бұрын
Thanks for your appreciation Peter. I hope you'll find other videos also to be useful / educational.
@bruh334
@bruh334 9 ай бұрын
Thank you soooo very much.
@MohamedAbomokh
@MohamedAbomokh 3 жыл бұрын
Thank you, much needed video :)
@DigitalSreeni
@DigitalSreeni 3 жыл бұрын
You're welcome 😊
@herhappykitchen
@herhappykitchen 2 жыл бұрын
your videos are really
@ExV6120
@ExV6120 3 жыл бұрын
Thank you! please make videos about GAN for medical image segmentation sir
@theoverseer1289
@theoverseer1289 3 жыл бұрын
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
@nathalieroos1999 3 жыл бұрын
Hi, it could be possible that accuracy is not the best metric for your problem :)
@theoverseer1289
@theoverseer1289 3 жыл бұрын
@@nathalieroos1999 Thanks! And how is that? What can be those metrics?
@nathalieroos1999
@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 😊
@georgemiller6010
@georgemiller6010 3 жыл бұрын
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'
@proatemp211
@proatemp211 Жыл бұрын
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.
@gustavojuantorena
@gustavojuantorena 3 жыл бұрын
Great video! Thank you
@DigitalSreeni
@DigitalSreeni 3 жыл бұрын
Glad you liked it!
@3DComputing
@3DComputing 3 жыл бұрын
As always, why look at another channel to understand these things. Thanks for the plain English
@DigitalSreeni
@DigitalSreeni 3 жыл бұрын
My pleasure!
@amirsv6014
@amirsv6014 5 ай бұрын
Thanks!
@DigitalSreeni
@DigitalSreeni 5 ай бұрын
Thank you very much.
@siddharthct4799
@siddharthct4799 3 жыл бұрын
Great video
@DigitalSreeni
@DigitalSreeni 3 жыл бұрын
Thanks!
@akashprabhakar6353
@akashprabhakar6353 Жыл бұрын
👌
@stoilacindy9730
@stoilacindy9730 Жыл бұрын
what is ti in the equation
@shaelanderchauhan1963
@shaelanderchauhan1963 2 жыл бұрын
Do we use it in Yolo object detection?
@bahaya7123
@bahaya7123 5 ай бұрын
bless u
@suryatej839
@suryatej839 2 жыл бұрын
u r totally amazing!!
@DigitalSreeni
@DigitalSreeni 2 жыл бұрын
Thank you so much!!
@ksgfl
@ksgfl 2 жыл бұрын
감사합니다.
@DigitalSreeni
@DigitalSreeni 2 жыл бұрын
Thank you very much for being generous.
@EB3103
@EB3103 3 жыл бұрын
awesome!
@sandips700
@sandips700 2 жыл бұрын
Thanks
@DigitalSreeni
@DigitalSreeni 2 жыл бұрын
Thank you very much.
@user-vm9xy8jc8h
@user-vm9xy8jc8h 2 жыл бұрын
thank you!
@jurischaber6935
@jurischaber6935 2 жыл бұрын
Danke!
@DigitalSreeni
@DigitalSreeni 2 жыл бұрын
Thank you very much for your kind contribution. Danke Schön
@ncroc
@ncroc 3 жыл бұрын
If y's are known and only p's are unknown then this is maximum likelihood.
@viveksthanam
@viveksthanam 2 жыл бұрын
Thanks!
@DigitalSreeni
@DigitalSreeni 2 жыл бұрын
Thank you very much Vivek. Please keep watching...
@manuelpopp1687
@manuelpopp1687 2 жыл бұрын
Danke!
@DigitalSreeni
@DigitalSreeni 2 жыл бұрын
Many thanks Manuel for being very generous. Please keep watching.
@manuelpopp1687
@manuelpopp1687 2 жыл бұрын
Thank you for producing these educational videos!
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