Sir! please makes the join button visible for outsiders from India on your channel bcz I want to buy membership of your channel and many of my Indian fellows are saying that the join button is along with the subscribe button I can not see it, probably outside the Indian territory It's not applicable. Thanks
hi, how can we implement different types of kernels of svm and tune its hyperparameters on cnn model? also how can we use different types of svm like gridsearchcv in cnn?
Image data generator can not be applied in test data set because we have to get accuracy based on that test data so transformation is only needed in training data
Please make some tutorial on 3D image classification using different CNN and pretrained models. It will very helpful because all your videos are very informative. Thank you.
@@krishnaik06 sir don’t take me wrong but how can we say that if we use Hinge loss and some reg. then my CNN will behave like a SVM. Can you please provide any intuition or any mathematical proofs bcoz that will help me to understand in better way.
Please make video on keras tuner with this dataset. You have made with mnist dataset but when i am trying to load my own data with imagedatagenerator i am not able to fetch labels.therefore not able to get best model
can i use svm for identifying artificially ripened fruit ?.... which is about detecting caco2 chemical properties on the surface of fruit and tell whether it is artificially ripened or naturally. if yes then please explain how. i have final year project to work on but could not find perfect articles to know about this. there are many technique used like KNN CNN but my project is to find how we can detect using SVM
Please make some tutorial on thermal temperature measurement in face,fever detection, prediction image classification using different CNN algorithm and pretrained models.
i don't understand why there is a need to make last layer as SVM. The things were fine with the Dense layer, also accuracy was more in case of Dense layer.
Revise Complete Deep Learning Playlist:
ua-cam.com/video/9jA0KjS7V_c/v-deo.html
Sir! please makes the join button visible for outsiders from India on your channel bcz I want to buy membership of your channel and many of my Indian fellows are saying that the join button is along with the subscribe button I can not see it, probably outside the Indian territory It's not applicable.
Thanks
hi,
how can we implement different types of kernels of svm and tune its hyperparameters on cnn model?
also how can we use different types of svm like gridsearchcv in cnn?
Can you tell me what is the default value of drop out factor of cnn
I'm still confused... Where specifically SVM Algorithm is implemented I can see only CNN
An indian guy saving our asses on youtube one more time. Great video, bro!
Data augmentation is used to add noise in data so that model can be generalized. There is no meaning to add noise in test data
Image data generator can not be applied in test data set because we have to get accuracy based on that test data so transformation is only needed in training data
Please make some tutorial on 3D image classification using different CNN and pretrained models. It will very helpful because all your videos are very informative. Thank you.
Can we do with other Machine learning models like knn,SDG
hello sir
I have a doubt. can we use transfer learning techniques for a dataset in .csv/tabular format.? or should we use it only for image data?
can we tune the hyper parameters of SVM in this model
Hi sir please tell me, can I use SVM it for signature detection ?
bro u not made video for hinge loss for svm
Sir make videos of bert
We are eagerly waiting
Hello! I am doing the same hybrid algorithm of CNN+SVM but with Matlab. Can we talk about the project. I made the CNN but how to add the SVM?
Krish, Can you please do the same for making a boosting algorithm.
why don't use sklearn for SVM?
btw, how about CNN-SVR ? did u already make video about it? thx u
sir could you plz tell be is it possible to use extreme learning machine in cnn, plz explain it.
I request you to elucidate how to integrate VGG19 with some SVM phenomenon.SD
Sir can you please let us know... Why the including L2 regularizer and Hinge loss function makes output layer svm classifier?
hello sir, thank you for your nice explanation. but how to display if it is catagorical ?
For multiclass classification should i changed loss function to "categorical_crossentrophy" ?
yes , i am getting wrong prediction by using squared_hinge(in my project) , ABDULLAH what about yours?
@@nirajpanda2591 i replaced squared_hinge with categorical_crossentrophy and model become better than before
@ABDULLAH Please share your mail I will share my code , I am unable to find the mistake,please help me
We can Even do image Classifications With Just by Using OPen CV an SVm
Dear sir, can you please explain how to select the hyper parameters?
Thank u sir.. It's amazing video.. Can u please make some video on covid ct scan image classification..
sir please make a vedio on stacking transfer learning architechtures
can we use other activation functions instead of softmax in multiclass classifications like polynomial, RBF?
Sir, Where you are mentioning as SVM in that coding .. where you are declaring the SVM in coding part. Please
The term where he uses loss = "hinge", itself is an indication that it is SVM. As he explains at around 9:35 in the video
Thank you very much ,really helpful, my additional question is that how to add Gaussian filter in multiclass classification
Sir plz make a video on depth map estimation with stereo images on Google colab..
Sir plz reply me ..
For multiclassification how we get result negative,positive or else
Linear SVM works in that way
If we do multi classification from SVM we need to use one vs rest approach. From one vs rest approach only we can get -ve & +ve value.
@@krishnaik06 sir don’t take me wrong but how can we say that if we use Hinge loss and some reg. then my CNN will behave like a SVM. Can you please provide any intuition or any mathematical proofs bcoz that will help me to understand in better way.
Krish, what is Multiclass SVM and how do we implement it in cnn
Please make video on keras tuner with this dataset. You have made with mnist dataset but when i am trying to load my own data with imagedatagenerator i am not able to fetch labels.therefore not able to get best model
Can you make a video tutorial on sentinel 1 SAR image classification using CNN.
sir how to add noise in training, like what would be code of introducing noise, and how much generalisation error will be reduce
Don't we have to use logits=True whe compiling the loss??
Or it is applicable to only cross entropy?
can i use svm for identifying artificially ripened fruit ?.... which is about detecting caco2 chemical properties on the surface of fruit and tell whether it is artificially ripened or naturally. if yes then please explain how. i have final year project to work on but could not find perfect articles to know about this. there are many technique used like KNN CNN but my project is to find how we can detect using SVM
Thank you very much. You have just save my life (and my master degree).
Please make some tutorial on thermal temperature measurement in face,fever detection, prediction image classification using different CNN algorithm and pretrained models.
hi. what r reffers in the code. in plotting the graph section
Is it possible to predict music genre by giving spectrogram to this model
sorry sir, so the SVM that we use when we're using multiclass classification here is a OVO or OVA?
where is the actually SVM are??
Is there a way to use embedding we get from NN to be used as SVM train and test set?
Sir, how do i calculate confidence of this model?
Can I use the same SVM as the with VGG16 instead of CNN?
sir please do projects that involve different domains like NLP + Computer Vision, Computer vision + Deep Learning and so on
what is test and train data???
Does this method I mean svm with CNN reduce testing error?
i don't understand why there is a need to make last layer as SVM. The things were fine with the Dense layer, also accuracy was more in case of Dense layer.
can i use SVM with losses.SparseCategoricalCrossentropy(from_logits=True),
Using knn,svm and decision tree creating an ensemble model can you make one video for this please
can you please provide some supporting documents or links about using l2, softmax and squared hinge will act as svm classifer
Did u find any ?
@@maxcharge4911 yeah I was about to graduate at that time I needed to find the reference to use this
@@ashutoshsingh3224 Can you share Please
@@ashutoshsingh3224 Please if u can reference l2 then it will greatly benefit me
@@maxcharge4911 I have the paper that support the squared hinge and I think I already shared the link of it
can you explain or make video exract road from satellite imagery using deep learning models
Thank you for sharing your valuable knowledge
please explain cnn+elm for classification
explain Generative adversial neural network with python code in future?
Great man
thanks for this effort
Thanks for your all efforts
sir! please make a video on how to implement Video Classification Using SVM In LSTM
how to implement SVM in CNN with different kernels like linear, cubic, quadratic, and gaussian
Vigyan means scientist
And how do i implement cnn with lstm
There is no perfect video on UA-cam can you upload this please ?
Thanks 🙏
please upload on video on OCC
Hi Sir! Can you make my final year project?
Thank you for this video
Great!!
sir please do some live kaggle competition on google colab
you're using a SoftMax classifier instead of SVM
thanks krish
Please give me a job in data vigyan