Early waiting for all cnn video, your work quality is far better than the paid course♥️♥️
@prashantpatchi
2 жыл бұрын
100% right love from germany
@sabalniroula26
Жыл бұрын
The amount of knowledge given is this course is beyond anything. Thank you soo much making such complex topic making easy...
@Ismail_Qayyum
5 ай бұрын
Bro teaches better than Andrew Ng ❤️
@prijalkhadka1940
10 күн бұрын
Can't thank you enough!!!
@pravinshende.DataScientist
Жыл бұрын
I have learned a lot from this channel ... A great thanks for that to Nitish sir ! have a nice evening!
@messi0510
Жыл бұрын
15:20-->17:40Filters in CNN are managed by back propagation😊 22:30-->26:45 Shape of the filter output(Grey scale and RGB) 26:50-->28:40 Multiple filters
@vinaypritwani
7 ай бұрын
bhai shandar smjahya hai, mazza agya
@pratikneupane951
Ай бұрын
I watched many videos and articles but none explained clearly how this convolution operation occurs in RGB images and when multiple filters are present.Thank you so much sir!
@thedataholics
Жыл бұрын
bht acha lecture tha sir.. convolution concepts clear Thanks a lot for helping students like us
@jayashivadarshinis9691
5 ай бұрын
The way you teach is simply amazing. Thank you for making it so interesting☺.
@ishtiukahammed241
Жыл бұрын
best ever explanation in the KZitem sir, waiting for Object Detection project
@BTStechnicalchannel
2 жыл бұрын
Thanks for another interesting video sir!!
@sapna5650
4 ай бұрын
Best vedio on CNN
@jayant4339
Жыл бұрын
sir crystal clear kar dia aapne to
@user-pu4iz8wb4d
2 жыл бұрын
cant thank you enough. this is gem
@waseemhaider5295
9 ай бұрын
Thanks sir love from Pakistan.sir you give me a great knowledge
@reevasharma9714
10 ай бұрын
thank you thank you ....best explanation ever
@rstpost-editz
3 ай бұрын
thanks sir for the video
@sachin2725
2 жыл бұрын
Hello Sir, It is possible for you to make a video on all type of plots used in ML algorithms. How to draw pairplot, ggPlot, scatter, hist,kde on given dataset, which plot is best for which analysis, which points are imp to plot the plots, etc
@tanveer9348
2 жыл бұрын
Tm bahoot mst kaam krta hai Nitish bhai.
@MANISHKUMAR-kt8es
6 ай бұрын
best video on cnn thank you sir
@afmfarhad2129
Жыл бұрын
Great explanation sir💯💯
@sumanthnimmagadda4472
7 ай бұрын
sir every thing explained in this video is accurate, the matrix multiplication you did from 13:00 minute is wring the matrix rows of matrix-a should be multiplied with columns of matrix-b .
@Ishant875
6 ай бұрын
That is not matrix multiplication.
@aiforeveryone
9 ай бұрын
Thanks a lot Nitish
@kinshuk9322
2 жыл бұрын
Waiting for this only... btw first one❤
@rb4754
2 ай бұрын
You nailed it...
@princekhunt1
2 ай бұрын
Great explanations 😦
@supriya_codes
9 ай бұрын
sir,your way of teaching is fabulous.. i didnt like ml before but now i have interest n. one question,wjhat happens if image is not square pixels like eg 28X10 like this dimension
@aj_ai
Жыл бұрын
great content🤩🤩
@HarshnaShrivastava
Ай бұрын
please explain the CNN in biomedical signal detection.
@narendraparmar1631
9 ай бұрын
Really helpful Thanks for your efforts.
@ayooshsharma529
4 ай бұрын
you teaches exceptionally well 🫡🫡🫡🫡🫡
@mr.deep.
2 жыл бұрын
Best explain Sir
@sarikapatil8131
Жыл бұрын
Excellent explanation
@kindaeasy9797
Ай бұрын
amazing maja aaya
@AbcdAbcd-ol5hn
Жыл бұрын
Best in class
@rafibasha4145
Жыл бұрын
Hi Nitish,Please explain about diff filter types like Sobel etc
@coderistan
10 ай бұрын
amazing
@AryanSingh-fe5uy
2 жыл бұрын
Awesome Video and great content Sir ❤
@anandgupta2892
Жыл бұрын
excellent
@duniya-wale
5 ай бұрын
Awesome bro
@krithwal1997
2 жыл бұрын
Sirjiii awsome explanation ❤
@sanchitdeepsingh9663
9 ай бұрын
thanks sir
@sandipansarkar9211
2 жыл бұрын
finished watching
@mr_jake_harper
Жыл бұрын
100k soon !!
@sahuchiragshyamlal3684
Жыл бұрын
edges primitive feat( intensity change)-> combine and find complex feat, pixel value=0-255, no of channels =3 in color image image * filter/kernel = feature map m*n*c image * n*n*c filter = (m-n+1) * (m-n+1) feat map of single channel different filter on image if 10 filters => feat map (m-n+1) * (m-n+1)* 10
@srinivaspadhy9821
5 ай бұрын
Sir CNN me Object Detection pura deeply cover karna please , kuch bhi nii chodna usme, YOLO(all versions), RCNN, Faster RCNN, Koshis karo ki thoda jaldi le ao videos, after RNN jbb bhi padhaoge.
@kanijamuntarina6503
Жыл бұрын
from where get the number for 228*228*3 for RGB channel. for RGB we get 3 channel. but from where we get 228*228?
@tashiqulalamsakin6045
6 ай бұрын
it's just the resolution of the image. if the image had height of 100 pixels and width of 150 pixels, then the resolution would be 150*100 and if it's RGB, then we would say, it's 150*100*3.
@satyamgawade4244
2 жыл бұрын
mxm (conv) nxn will give always give (m-n+1,m-n+1) in convolution operation
@divyakarlapudi
3 ай бұрын
best
@jabed.akhtar
Жыл бұрын
thanks a lot sir for the whole plalist
@guru_bro
7 ай бұрын
25:40 is imp
@avishinde2929
2 жыл бұрын
thank you so much sir ji
@AlAmin-xy5ff
2 жыл бұрын
Nice
@pradhumnasingh8026
Жыл бұрын
255*1+255*1+255*1=765 but sir why were u still taken 255 can anyone explain???
@ramanpareek5218
Жыл бұрын
kyuki value bhale hi 765 ari hai but maximum aapan 255 tak hi le sakte hai isiliye 765 ki jagah 255 liya
@user-il6cx8jy3r
5 ай бұрын
Because of intensity of grey scaled images
@user-ti2qc9cd5b
Жыл бұрын
how to run CSV data on CNN??
@ats898
4 ай бұрын
Sir, Can you provides notes?
@trishanudas438
Жыл бұрын
The best
@srishkulkarni7979
2 жыл бұрын
Why do we always use "odd" sized filters? Interview question hai.
@satyamgawade4244
2 жыл бұрын
Why kernel size is odd ? For an odd-sized filter, all the previous layer pixels would be symmetrical around the output pixel. Without this symmetry, we will have to account for distortions across the layers. Why not even sized kernel ? It is possible to use even size kernel but you might have to suffer with aliasing error. Aliasing is distortion caused in original input. Mostly when we down sample in signal processing this is solved by low-pass filtering but this cannot be inserted in deep networks as it degrades performance.
@rockinhitzz8682
5 ай бұрын
We are not using even sized filters because while extracting important features we need to take care of surrounding pixels of an important pixel( that pixel which is a part of important component/feature of image ). If you observe even matrix 4x4 you won't find a centre pixel which surrounds all pixel but for 3x3 matrix (odd dimension matrix ) you can find centre co-ordinate of pixel surrounded by every pixel. So this is the reason why odd filters are used instead of even filters.
@grownup3753
Жыл бұрын
Nitish is G.O.A.T
@swarnpriyaswarn
3 ай бұрын
26*26
@Sara-fp1zw
2 жыл бұрын
Best
@elonmusk4267
Ай бұрын
computer vision engineer
@ravanasura8308
Жыл бұрын
It's 0 to 255 or 0 to 288
@prithwishchakraborty2286
2 жыл бұрын
Sir plz give the link of the tool you used for cnn
@duniya-wale
5 ай бұрын
❤❤❤❤❤❤❤❤
@nitin-kalra2588
2 жыл бұрын
Is the size of kernel or filter always 3x3?
@campusx-official
2 жыл бұрын
No, generally
@thebestofbest2626
2 жыл бұрын
sir please complete the playlist
@MusabNawaz-ef5yd
9 ай бұрын
Sir sound pr kaam krin gay
@core4032
Жыл бұрын
👍
@sarahsayyed2002
3 ай бұрын
Hi guys it’s Sarah here 😂
@ICC_Cricket1
3 ай бұрын
So what we do? 10:23
@pravinshende.DataScientist
Жыл бұрын
I have learned a lot from this channel ... A great thanks for that to Nitish sir ! have a nice evening!
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