The matrix shown by you is 3x3 and in explanation you are considering 2x2 @4.55. Please try to correct at the te of editing hard to notice for the newcomer.
Pls also discuss the Softmax layer in Deep learning and how to stored the weight so that we can use them on the training set to also use those to solve other problem.
Thanks Krish, for your detailed videos. I owe you a party for these videos. I have one doubt, in ANN it is understood about the loss function. But how would the loss function be defined in CNN as there are images?
Pls sir my question is how do you get the values in CNN image. Does it come on with the image or you will be the one to assign them o. My confusion. Thanks
Hai sir jobs for data science are available in india or not for freshers ????? And I am mechanical Engineer... I have knowledge in python and SQL so many telling about data science and mi ai are developing technologies in india ..is really true that jobs are there for freshers ?????am i really eligible for that please reply sir ....
inorder to detect spatial features in images we have apply cnn on images data rather than ann,if we apply ann on images data its very high computation hectic and take more time train and more over its can't detect spatial features well on images .
4 years since this outstanding playlist and yet no other content comes even close to this. Thank you so much
what an amazing humble attitude. cannot thank you enough.
Thank you, Krish sir. Your tutorials are really helpful.
Thanks for clearing concept.Great Video.
5:00 The filter matrix you wrote is 2×2 and, the matrix diagram is 3×3. By the way, loving this course ♥️
moreover the values are also not correct for vertical edge detection
most awaited tutorial
Simply Awesomeee...
You really doing very well.its very help full for me
Thanks so much sir for clearing this concept.
Sir you are genius v.v.v.v. good explanation.
Great work Krish ❣️👍
Hello sir.. You made these concepts very easy to understand. Thank you for all the amazing tutorials :)
Great Krish, keep going. God bless you for your wonderful effort.
clearest explaination on the internet. thank you.
Best channel ever seen.
Sir, we are so lucky to have like you so requesting you not to say sorry :)
Bro, u r the best
Thank you sir. Excellent explanation.
Thanks a lot sir, your teaching method is Awesome. keep it up.
such fruit ful explanation
Comprehensive Explanation
Once again great video.Thanks
Thank you sir
Huge respect from Pakistan 🇵🇰
Thanks Krish
The matrix shown by you is 3x3 and in explanation you are considering 2x2 @4.55. Please try to correct at the te of editing hard to notice for the newcomer.
Awesome sir.
Pls also discuss the Softmax layer in Deep learning and how to stored the weight so that we can use them on the training set to also use those to solve other problem.
Sir please make vedio on transfer learning on different cnn architecture like vgg16, resnet, inception v3
3:41 neither the filter nor it's imposition on the image is 2x2
Great sir
dear sir ....these all tutorials are awesome ...I understood everything about Deep learning ...... and plsss do the same tutorial on RNN
Thank you sir for your teaching
Thank you!
Make a project on LSTM sir
please share the process involved in human activity recognition in a video using CNN
Sir u r lecturer superb
Friend,
Can we use CNN for disease prediction like diabetes prediction using Deep Learning???
Pls reply
Its so informative and fluent lecture. Thanks.
You explain very well. Very intuitively.
Can any one tell why he has taken vertically written filters as horizontal filters? @8:56
There was a small mistake when we apply the formula n-f+1 to get output pixels with input pixel 4*4 over filtering layer with 3*3 we get 2*2 matrix
yes, but he used 2*2 filter/kernal
Great and helpful tutorial. Could you please make a video on graph convolution neural network and tell us how it is different from CNN? Thanks
Worth to watch
Thanks Krish, for your detailed videos. I owe you a party for these videos. I have one doubt, in ANN it is understood about the loss function. But how would the loss function be defined in CNN as there are images?
2X2 filter means 2X2 matrix or 3X3 matrix, tell me
Please prepare tutorial on LSTM & spatial temporal Neural Network.
Great
Pls sir my question is how do you get the values in CNN image. Does it come on with the image or you will be the one to assign them o. My confusion. Thanks
Thank you
Which one should be better for speech recognition ?
Thank you sir
Where back propagation with example is explained. Link pls
Is the CNN is only used for image classification or it may use for regression problem like house prediction problem ?
thanks for comprehensive playlist
Can u tell us after doing deep learning course is there are opening for it for fresher wht is salary per annum
Hi Krish...As usual it's Awesome ...
Can you please refer any portal where we can get some Research Paper?
MLOps per ek video banao sir g
SIR PLEASE MAKE A VIDEO ON RNN( RECURRENT NEURAL NETWORK)
Keep it up sir
anyone please ...how do we choose values in filter matrix..?
Please teach Deep learninh wrt NLP too🙏
hey bro, after becoming a member of this channel how can I get the data science material?
Sir plzzzz hindi ya urdu me bi banaya krain lectures...
Hai sir jobs for data science are available in india or not for freshers ????? And I am mechanical Engineer... I have knowledge in python and SQL so many telling about data science and mi ai are developing technologies in india ..is really true that jobs are there for freshers ?????am i really eligible for that please reply sir ....
There are lot of Jobs for freshers as well
@@Syedzee who told u ?? @Syed Zeeshan ,,, everyone will hire only experienced candidates
Sir can u keep video on the deep cnn
when to choose ann and cnn
Does grayscale pixels can have any values between 0 to 255?
yes
why do we use convolution ??? why not just simple ANN in case of image ?? main question is what is need of convolution in CNN?? please Answer....
inorder to detect spatial features in images we have apply cnn on images data rather than ann,if we apply ann on images data its very high computation hectic and take more time train and more over its can't detect spatial features well on images .
sir can you please explain how to train CNN ?
Just follow this playlist...I have explained it
Well done sir i am from pakistan doing my PHD in china
Lol
2x3 or 3x3???
🌺
cnn means it was related to images ?
Its mostly used in image buy can also used in text.
Softmax
Sir please complete ml in 90 days first
CNN ARE AMAZING MARKESES
My visual cortex tells me i see a rash on your left cheek :)
Who disliked the video🤬🤬
THE COMIC THATS NOT FUNNY AT ALL BOREING