I am happy you are my teacher. Thanks a lot for this KNN concept. Sir Can you also upload about other classifiers like SVM,LSVM Gaussian Process, Logistics regression etc?. I want to learn these also.
you can read image files using imread. documentation: www.mathworks.com/help/matlab/ref/imread.html and then save them as .mat using save. documentation: www.mathworks.com/help/matlab/ref/save.html
One way, also used in this code, is to use the np.reshape function. Notice how at 11:14, Im reshaping a vector into 32x32x3 image. So if you wanted to vectorize 32x32x3 image, consider using np.reshape(img_original,[3072,1], order="F"). 3072 because 32x32x3
Such a noteworthy video which elucidates KNN concepts ( which are abstruce to understand) in a concise way😊❤
your way of teaching is excellent, keep it up :)
Very Interesting topic,great detail,simple and easy to understand just exceptional sir.😊
Fantastic video, short and explained with ease and clarity.
I am happy you are my teacher. Thanks a lot for this KNN concept. Sir Can you also upload about other classifiers like SVM,LSVM Gaussian Process, Logistics regression etc?. I want to learn these also.
In future will upload some more content! Thank you!
Wow Sir!!! Thank you for teaching these concepts so clearly!!!
Great job, you are crystal clear. Waiting for your complete DL series 🙂
Thank you Sunit!
you need to market you channel, its unfair that many people don'
t know about this quality content
Thank you so much for your lovely words! I'll definitely work on it!
Loved it. Very clear explanation !
Thank you Advitya
tnks great video!
@@fatihucar7995 you're welcome!
crisp and clear sir ... thank you
Thanks Harsh!
@@SalaarArifKhan Sir 1 more thing can you tell me what is K in this .... if K=2 it means it will compare 2 nearest images .....?????
@@harshagarwal8170 that's right, it'll look for two nearest images
great job , thank you sir ☺
Thank you!
Hello, i'm just wondering, how did you make a .mat file containing 50 images? Thank you.
you can load the images in MATLAB, vectorize them, stack them together and save that variable
If multi class classification(images) is possible using KNN?
Yes, for example you can have a test image and run KNN on it to see if it belongs to a class of cars or bikes or planes etc.
good one can u start a whole deep learning playlist?
Intend to do it soon! Thanks!
great job sir, I have requested source code for this video, kindly send me the code as soon as possible sir.
Thank you Boopal. It has been sent.
Excellent! Can I have access to the source code & dataset please? I've mailed you. Thanks in advance!
Can you please give me source code and data set sir??? Please
email at salaar_arif@hotmail.com
Sir, can i get the code and dataset? I have mailed you.
Sure!
Sir how to convert jpg to .mat ? please help
you can read image files using imread.
documentation: www.mathworks.com/help/matlab/ref/imread.html
and then save them as .mat using save.
documentation: www.mathworks.com/help/matlab/ref/save.html
Sir how can we vectorize image files?
One way, also used in this code, is to use the np.reshape function. Notice how at 11:14, Im reshaping a vector into 32x32x3 image. So if you wanted to vectorize 32x32x3 image, consider using np.reshape(img_original,[3072,1], order="F"). 3072 because 32x32x3
@@SalaarArifKhan Thanks a lot sir for your answer.Can I get your source code and that data.mat file? It will be very much helpful.
@@arnob1221 email at salaar_arif@hotmail.com
@@SalaarArifKhan already done sir.
@@arnob1221 done
May i have the source code and data set plz ? i have already sent an email
Sent!
hi, can u share code?
Email at salaar_arif@hotmail.com
permission to learn sir
Permission granted!
can i have the source code please?
Yes please email at salaar_arif@hotmail.com
@@SalaarArifKhan I'm already sent email sir :)
@@srp5279 Sent
Can you please send me the code and data set please...
I already sent my mail id sir
Can you please send me code and data set
I already send my mail please send sir
sent!
Can you please give me source code and data set sir??? Please
Yes sure please email at salaar_arif@hotmail.com
@@SalaarArifKhan I already sent mail sir
@@pericharlamanvithvarma2498 sent! Good luck!
can i have the source code please?
Yes! Email at salaar_arif@hotmail.com
can i have the source code please?
Sure! Please email at salaar_arif@hotmail.com
Salaar Khan done! Thanks you very much