You are a genius, please don't stop, please continue, I am Arabian and I am not very good in English but I understand every thing from your pronunciation
Hey man, thank you so much for making these videos. Your English is amazing and your teaching style is brilliant. I am following your courses this week and it has been very helpful! Much love from Sri Lanka
Thanks for your tutorial. I follow the tutorial and learned a lot. And I find the accuracy is always if epochs is 3. But the filters are initialized randomly, so the accuracy should be a little different, I think.
I am glad that it helped you. The accuracy enhancement of ConvNet is an excellent research topic. You can work on different papers about accuracy enhancement in different conditions.
Thank you. It will be a complete course on Deep learning starting from definition of machine learning (completed) all the way to single layer neural network (SGD, Batch and Mini-batch), multi-layer neural network, classification in multi-layer, Deep Learning (completed), ConvNet (completed). I will end the course by showing how to moderate Alex net to train CNN to recognize anything.
Real and Honest thanks! You helped me a lot. I traduced this whole program to scilab, and this helped me a lot to understand how it works. I can only advise other readers to do so. I might post a link my code and some details here if I have the time.
Very good explanation on CNN using Matlab. I'm doing my research in human expression detection using deep learning(CNN). Kindly send me the Matlab codes for the above explained concepts. It would be great help to proceed my research with good understanding.
Sir, Thank you very much for the video. I have implemented your code on MNIST and it worked well. But I have a doubt in implementing the same for character data set. If I have character image of different size other than 28 * 28 ( say 60*60) and 46 classes then what are the corresponding changes I have to make? What should be the weight matrix ? Hidden layer of how many nodes ?
Hi sir, Thank you for your video. I'm currently working with wood defection detection and classification using CNN. I already got 3 types of wood defection data and i'm wondering how do I write the coding for training? In this video, you didn't explain the training coding. Could you please explain the training code? Sincerely appreciate.
Could you please help me about these questions: How can implement this federated learning? How can i take gradient of the pics to implement federated learning?
Great video! The simple explanation of CNN at the beginning real solidified my understanding of how this works. In line 6 of "loadMNISTLables" what errors might occur? Im trying to run this code to get an idea of how it works but I'm getting the error code for that line when running it.
first of all I really thank you for your valuable lessons... I just wonder if you can upload the Matlab codes so we can follow them step by step ... they are too long for such beginners like me... thanks again
Thank very much for your excellent explanation about CNN. I'm doing my research on image processing. Can u suggest me how to use for image segmentation.
Index exceeds matrix dimensions. Error in MnistConv (line 22) x= X(:,:,k); Error in TestMnistConv (line 18) [W1, W5, W0] = MnistConv(W1, W5, W0, X, D); How to Resolve These Error
Thanks for the video it is a great one I have encountered a problem on the implementation of the program When I have the test script I got an error stating 'Error using reshape Product of known dimensions, 784, not divisible into total number of elements, 1. '
I m learning CNN in these days .using Pytorch.please make a video on it.Also my Can CNN use for tumor "segmentation ".Highlighting the tumor from image is required task.
Hi! Thanks for this helpful video.I have a question, i have my database of color images with format jpg and with size different to 28*28,and i want to convert them to MNIST to train my network , what i have to do?(is it necessery to resize them to 28*28 or not?) And thank you so much
Hi! Thank you for this video. I'm currently doing with my final year project, which requires me to identify water puddles. Do you have any idea where can I find dataset of water puddle? Also, I'm aware that in order to identify water puddles from photos, I have to separate the pixels using image processing by colours.
Mandy Ooi, you asked a very good question. I am not sure whether there is any dataset of water puddle or not. However, preparing such dataset will not be that difficult. Here is how you can do it - 1) Record 20 videos of 5-10 minutes duration of water puddle from different angle, under different light intensity (morning, noon, afternoon), and in different environment, 2) Extract the frames from the video (now you have images) 3) Convert the images into gray-scale image 4) After that, resize the image using Matlab or OpenCV That's it. Your dataset will be ready. I will prepare a tutorial for you about it. I hope it will help.
Mandy Ooi, I have uploaded a video on 'Face Recognition using Matlab'. There I showed how to prepare dataset and load dataset in Matlab. I hope it will help you in preparing and loading dataset in Matlab.
Sir Assalamualaikum, Sir Bangladesh fake currency detection using convolutional neural network in Matlab project Maybe a little better video. Wait for your project next video.
Walaikum Salam. Thank you for the suggestion. I regret to let you know that I do not have the Bangladeshi Fake Currency dataset. And it is a violation of the law to make fake currency. And thus, it is not possible to prepare the video lesson.
Hello, nice explanation of CNN architecture. I want to know that, can we use CNN in structured dataset. Particularly CNN implement mostly in unstructured data.
HELLO , Can you explain what are these codes doing? d = zeros(2,1); d(sub2ind(size(d),D(k),1)) = 1; e = d - y ; delta = e; e5 = Wo'*delta; delta5 = (y5>0).*e5; e4 = W5'*delta5; e3 = reshape(e4,size(y3)); e2 = zeros(size(y2)); W3=ones(size(y2))/(2*2); and how can I aotained the result from these codes thank you
Respected Sir, May I ask about your code that what is used for the following code-lines, please? dW1 = dW1 / bsize; dW5 = dW5 / bsize; dW0 = dW0 / bsize; Secondly, also requested, for the following lines as well:- W1 = 1e-2*randn([9 9 20]); W5 = (2*rand(100, 2000)-1)*sqrt(6)/sqrt(360+2000); W0 = (2*rand(10, 100)-1)*sqrt(6)/sqrt(10+100); Description of W1, W5 and W0 alongwith dW1, dW5 and dW0. thanking you in anticipation. best Regards gul Rukh Khan
Dear Mr.Faruqui Thank you for your kind and detail explanation. I followed your instruction to see the result. By the way, the 4 plots (Convolution filter and 3 Features) are not shown. These are just shown black. (I think all elements are zero). I made the code exactly same to you. How can I fix this problem?
I'm sorry to hear that you are having trouble with implementing the code. Please review the code, there must be some kind of syntax error in your code.
@@NuruzzamanFaruquis Thank you for your reply. I found my fault. I made a mistake. In display_network.m code, I wrote: "if k < M". It made me difficult.
Hello hyesung, I am working on this code but I am getting some errors can you please mail me the code .This is my mail id amararavipudi@gmail.com thank you
i have executed the program it showing error in ploting features. Error using exit Too many output arguments. Error in display_network (line 9) if ~exit('opt_graycolor', 'var') || isempty(opt_graycolor) Error in PlotFeatures (line 16) display_network(x(:));
Thank you for the nice tutorial, but this is pretty complicated and very fast. Where can I find the complete code, then it would be easier for me to follow!
Is it anyhow possible to use CNN to automatically detect both purely and barely visible defects in an image? I am at this moment doing my Master's thesis and simply looking for the best algorithms to detect some defects on kind of blurry images (noisy a little bit, as it is a non-destructive testing using microwaves of dielectric structures). Thanks in advance!
Hi thanks for your Video. i am currently working on object detection for my final project. i wish to know how can train my own images of objects(weapons like guns, hammer etc) and then use matlab to detect these object in a crowded scene held by individuals in the crowd. THANKS
Hello. I am getting an error message ' The EraseMode property is notnsupported and will error in future release'. Is there an alternate code i could use. Thanks
I found there is no gradient calculation for softmax function. and when I try to apply softmax gradient on the backpropagation process in the code the result had terrible score 0.2. Could you explain about it?
Great video tutorial. I really appreciate all the work you have done here. I have copied the code into matlab and I believe I’m working with the same dataset as you have. However, I had to change some small parts of the code (probably due to update to the matlab syntax handling)I’m getting less than 10% accuracy in 3 epochs unlike you (>90%). Is this normal? I couldn’t quite understand how you are updating the weights in the code because it seems you are adding them rather than w(k+1)=w(k) -rho*gradient for GD. I can see that you are using mini batch gradient descent with momentum but, for me momentum is: V(k+1) = beta*V(k) - (1-beta)*gradient and weight update changes to w(k+1) =w(k) - rho*V(k+1). Do you by any chance have the written code for testing purposes since I’m getting a different accuracy? Thank you for your time.
To be more clear: I have not changed your code before running but, if I were to change it I would use the equations I mentioned for momentum and gradient descent above. I’m really asking for clarification in this case. Thanks.
I understand where the confusion is. I will try my best to prepare an explanation. Would you please email me your concern at faruquizaman27@gmail.com so that I can replay with the explanation?
hai sir, thank you so much for making these videos and helping us. sir , i have doubt in training can you please give detailed explanation for training of network in some what brief.
hello thank you for the benefit videos I would like to ask you about implemention of CNN in the positive and negative text sentiment analysis, how can I implement the procedure of CNN on the text ? can you explain the procedure and codes for me thank you so mach
I do have a set of downloaded matlab codes for image super resolution and its perfectly running fine with existing datasets and models. But i want to create new model with different datasets and try to run with the existing codes. But i couldn't do so. It will be very helpful if you assist in creating model from new datasets in matlab
Hi, Thank you very much for the video. I have one question about implementing CNN in MATLAB. You've implemented the CNN code by your hand, but, as i heard, there is toolbox to implement CNN easily. Can you explain the difference between hand writing code and toolbox provided by MATLAB? Again, Thank you very much for your kind explanation in this video.
Hello sir! Great lecture. I have a doubt. At 16:48, I cannot understand the filter = rot90(squeeze(filter),2) line. I read up the documentations of those functions but I still can't understand the reasoning behind doing these transformations.
Hi, Firstly, thanks very much this video is incredibly helpful! I notice at the end of the display_network.m you have: if opt_graycolor h=imagesc(array, 'EraseMode', 'none', [-1 1]); else h=imagesc(array, 'EraseMode', 'none', [-1 1]); end Is this not redundant? Thanks, Tessa
Thank you so much sir for making these videos. i am a beginner to CNN codeing. Therefore, I wanted to learn a code which you've created through fucntions like load batabase, load labels, activation fuctions(ReLu, SoftMax), Convolution, Pool, Load database Convolution, random, Test Convolution, Display and plot too. please help me sir. i have tried to get those code's video on internet. but, i couldn't got that.
Hi! Thanks alot for your videos I'm currently doing with my final year project, which requires me to identify edge in seismic data using DNN in matlab. Do you have any resources that can help me?
@@NuruzzamanFaruquis Thank you for replying , I need DNN matlab source code help me to train my model that can detect the edge in seismic or public images. If there is no DNN source code can you give me CNN source code to detect in public images.
Yes, I do. I will upload the video of grayscale to color image conversion shortly. You can look into previous comment. There is another guy, Eman Saleem, working on the same area . Both of you will get a notification when I will upload the lecture. Thank you.
You are a genius, please don't stop, please continue, I am Arabian and I am not very good in English but I understand every thing from your pronunciation
one of the best tutorials on implementation of CNNs. Thank you so much. God Bless you.
Hey man, thank you so much for making these videos. Your English is amazing and your teaching style is brilliant. I am following your courses this week and it has been very helpful! Much love from Sri Lanka
I dont know who you are but this is the one of Best lecture in the UA-cam thank you bro go on May Allah bless you
Thank you Mohammed. These encouragements are what keep me going.
Very nice explanations and graphical presentation. Makes so much easier to understand. Thanks
I'm glad that you find it easy to understand.
Thanks for your tutorial. I follow the tutorial and learned a lot. And I find the accuracy is always if epochs is 3. But the filters are initialized randomly, so the accuracy should be a little different, I think.
I am glad that it helped you. The accuracy enhancement of ConvNet is an excellent research topic. You can work on different papers about accuracy enhancement in different conditions.
Best tutorial on CNN!
A very clear lecture. A great resource for new learners.
very nice ! hope future video have more about deeplearning!
Thank you.
It will be a complete course on Deep learning starting from definition of machine learning (completed) all the way to single layer neural network (SGD, Batch and Mini-batch), multi-layer neural network, classification in multi-layer, Deep Learning (completed), ConvNet (completed). I will end the course by showing how to moderate Alex net to train CNN to recognize anything.
Can you please explain training code
Great work bro, Is there any direct link to download the MatLab code?
Real and Honest thanks! You helped me a lot. I traduced this whole program to scilab, and this helped me a lot to understand how it works. I can only advise other readers to do so. I might post a link my code and some details here if I have the time.
Can you send me the link of your code
can i get the matlab code please
Very precise. Thank you very much. you saved me from the misery of my final year project T_T
God Bless you. Thank you for sharing your knowledege.
Hi sir, Thank you for your video
Great video Mr.Nuruzzaman. Keep it up.
Thank you Tanvir :)
Very good explanation on CNN using Matlab. I'm doing my research in human expression detection using deep learning(CNN). Kindly send me the Matlab codes for the above explained concepts. It would be great help to proceed my research with good understanding.
Sir, Thank you very much for the video. I have implemented your code on MNIST and it worked well. But I have a doubt in implementing the same for character data set. If I have character image of different size other than 28 * 28 ( say 60*60) and 46 classes then what are the corresponding changes I have to make? What should be the weight matrix ? Hidden layer of how many nodes ?
Great work! I really learn a lot. Thanks for sharing your knowledge.
Hi sir, Thank you for your video.
I'm currently working with wood defection detection and classification using CNN. I already got 3 types of wood defection data and i'm wondering how do I write the coding for training? In this video, you didn't explain the training coding. Could you please explain the training code? Sincerely appreciate.
Thank you for the explanation. I am working on my final year project and wanted to know if cnn can be used to detect roi in thermal images.
i want this code. i want to implement my own data using CNN. sir your video is excellent. but code is somewhat missing. can u send me the code
Tank you for the whole playlist on this topic. Awesome work!!! Did you publish your scripts and functions for interactive learning?
Sir thank u for everything
You prepare perfect video , I learned so many thing and
I am grateful to you for what you did.
Could you please help me about these questions:
How can implement this federated learning?
How can i take gradient of the pics to implement federated learning?
Great video! The simple explanation of CNN at the beginning real solidified my understanding of how this works. In line 6 of "loadMNISTLables" what errors might occur? Im trying to run this code to get an idea of how it works but I'm getting the error code for that line when running it.
first of all I really thank you for your valuable lessons... I just wonder if you can upload the Matlab codes so we can follow them step by step ... they are too long for such beginners like me... thanks again
Thank you for the appreciation. I will share the code once this course will be completed.
Thank very much for your excellent explanation about CNN. I'm doing my research on image processing. Can u suggest me how to use for image segmentation.
Index exceeds matrix dimensions.
Error in MnistConv (line 22)
x= X(:,:,k);
Error in TestMnistConv (line 18)
[W1, W5, W0] = MnistConv(W1, W5, W0, X, D);
How to Resolve These Error
did you find how to resolve these Error ?
Thanks for the video it is a great one
I have encountered a problem on the implementation of the program
When I have the test script I got an error stating 'Error using reshape Product of known dimensions, 784, not divisible into total number of elements, 1. '
really informative video sir.. Iam working on medical image security. sir please do a video of segmentation of images using CNN
I m learning CNN in these days .using Pytorch.please make a video on it.Also my Can CNN use for tumor "segmentation ".Highlighting the tumor from image is required task.
Hi! Thanks for this helpful video.I have a question, i have my database of color images with format jpg and with size different to 28*28,and i want to convert them to MNIST to train my network , what i have to do?(is it necessery to resize them to 28*28 or not?) And thank you so much
why did you choose "bsize=100" in MNISTConv.m?
Thank you
thanks allot for your help and explanations. can u attached the matlab code please? thanks
how i can solve this problem in testMNISTconv.m ??
Error in TestMNISTconv (line 21)
[W1, W5, Wo] = MNISTconv(W1,W5,Wo,X,D);
i have the same problem did you solve it plz t..
Eylul Mood not yet , i can’t solve it , i was searching for a solution in the last 2 weeks and i got nothing !!
@@ayoubelmj9319 thank you for answering
@@ayoubelmj9319 I solved it in Conv function change this line y=zeros(20,20,numFilters);
Eylul Mood i change It but i still have the same error, can you send me your code if you can ! ayoubelmejdoub1993@gmail.com
Hi! Thank you for this video.
I'm currently doing with my final year project, which requires me to identify water puddles. Do you have any idea where can I find dataset of water puddle?
Also, I'm aware that in order to identify water puddles from photos, I have to separate the pixels using image processing by colours.
Mandy Ooi, you asked a very good question. I am not sure whether there is any dataset of water puddle or not. However, preparing such dataset will not be that difficult. Here is how you can do it -
1) Record 20 videos of 5-10 minutes duration of water puddle from different angle, under different light intensity (morning, noon, afternoon), and in different environment,
2) Extract the frames from the video (now you have images)
3) Convert the images into gray-scale image
4) After that, resize the image using Matlab or OpenCV
That's it. Your dataset will be ready.
I will prepare a tutorial for you about it. I hope it will help.
Awesome! Thank you so much, I appreciate it!!
You are welcome
This is data-set pre-processing phase. That means you will apply image processing to your data-set before training the CNN.
Mandy Ooi, I have uploaded a video on 'Face Recognition using Matlab'. There I showed how to prepare dataset and load dataset in Matlab. I hope it will help you in preparing and loading dataset in Matlab.
I have inspired for your explanation and video. I request you that, please do video brain tumor segmentation using CNN. thank you sir.
where can we get the codes use in the examples? If feel some places in video it is not possible to type them?
Sir Assalamualaikum, Sir Bangladesh fake currency detection using convolutional neural network in Matlab project Maybe a little better video.
Wait for your project next video.
Walaikum Salam.
Thank you for the suggestion. I regret to let you know that I do not have the Bangladeshi Fake Currency dataset. And it is a violation of the law to make fake currency. And thus, it is not possible to prepare the video lesson.
hello sir, i have to train the characters using hopfield neural network. size of each character is variable as they are handwritten. how to do it??
Thanks very much..can you explain layer and option functions for cnn pleas???
I will try. Thank you for the comment.
Thanks sir for an excellence presentation , is CNN suitable in data prediction ? or its just only for image recognition
An extremely helpful video for a beginner like me!.. Can you also upload those matlab codes ?
Thank you for your compliment. I am working on uploading the codes. Once it will be done, you will find it in my website.
Did you upload the code.?
@@studywithme8741 You can find codes here at this link ( github.com/Apress/matlab-deep-learning ) in ch.6.
@@mohamedelmekawy-rw8vz thank you so much
Dear sir , I got stuck in matlab CNN about the project ,Could u help me to solve it ? I can send u my data . Thanks again .
Thanks, very good you presentation
Thank uh sir, my question is how I classfied the retinal images using CNN to find the accuracy of images?? Please explain.
Would you please explain the question a bit. I will little confused here.
thank you , it is best course in deep learning , but the big equation is (how use CNN?) , How can I benefit from this network?
Hello, nice explanation of CNN architecture. I want to know that, can we use CNN in structured dataset. Particularly CNN implement mostly in unstructured data.
What happened in this code If I need to detect a watermark image ?? Thanks sir
HELLO ,
Can you explain what are these codes doing?
d = zeros(2,1);
d(sub2ind(size(d),D(k),1)) = 1;
e = d - y ;
delta = e;
e5 = Wo'*delta;
delta5 = (y5>0).*e5;
e4 = W5'*delta5;
e3 = reshape(e4,size(y3));
e2 = zeros(size(y2));
W3=ones(size(y2))/(2*2);
and how can I aotained the result from these codes
thank you
Yes
Hi mister, thank you for your video. I want to ask how to make it in Gui of Matlab?
How to apply this code sir to your previous videos in Classification of fruit Using CNN
Respected Sir, May I ask about your code that what is used for the following code-lines, please?
dW1 = dW1 / bsize;
dW5 = dW5 / bsize;
dW0 = dW0 / bsize;
Secondly, also requested, for the following lines as well:-
W1 = 1e-2*randn([9 9 20]);
W5 = (2*rand(100, 2000)-1)*sqrt(6)/sqrt(360+2000);
W0 = (2*rand(10, 100)-1)*sqrt(6)/sqrt(10+100);
Description of W1, W5 and W0 alongwith dW1, dW5 and dW0.
thanking you in anticipation.
best Regards
gul Rukh Khan
Hello, I think that your training algorithm at the end layer (dW0) needs to be multiplied by the partial derivate of softmax
Thank you so much, sir.
Do you have an explanation about the detection of brain tumors using deep learning with CNN
Best tutorial for cnn in matlab
Can u please explain how features are extracted from mri brain images for early diagnosis of alzheimer's disease
Thank you so much!
Dear Mr.Faruqui
Thank you for your kind and detail explanation. I followed your instruction to see the result. By the way, the 4 plots (Convolution filter and 3 Features) are not shown. These are just shown black. (I think all elements are zero). I made the code exactly same to you. How can I fix this problem?
I don't know why the matrix A is used in the "display_network.m" code....
I'm sorry to hear that you are having trouble with implementing the code. Please review the code, there must be some kind of syntax error in your code.
@@NuruzzamanFaruquis Thank you for your reply. I found my fault. I made a mistake. In display_network.m code, I wrote: "if k < M". It made me difficult.
I'm glad that you could find out reason of the problem.
Hello hyesung,
I am working on this code but I am getting some errors can you please mail me the code .This is my mail id amararavipudi@gmail.com thank you
Thanks for this useful video. I done this code but there is problem in loading image. The output showed like just 5X4 box.
Best explanation out there! Love this video…new subscriber for u :)
i have executed the program it showing error in ploting features.
Error using exit
Too many output arguments.
Error in display_network (line 9)
if ~exit('opt_graycolor', 'var') || isempty(opt_graycolor)
Error in PlotFeatures (line 16)
display_network(x(:));
Thank you for the nice tutorial, but this is pretty complicated and very fast. Where can I find the complete code, then it would be easier for me to follow!
wonderful explanation. keep on
hello sir, If we have only dataset, no labels then which modifications we should do in the code?
Is it anyhow possible to use CNN to automatically detect both purely and barely visible defects in an image? I am at this moment doing my Master's thesis and simply looking for the best algorithms to detect some defects on kind of blurry images (noisy a little bit, as it is a non-destructive testing using microwaves of dielectric structures). Thanks in advance!
You asked an excellent question. Yes, it is possible.
GOOD VIDEO ,,Thank you very match
Can you send the complete code of this.?
Hi thanks for your Video.
i am currently working on object detection for my final project. i wish to know how can train my own images of objects(weapons like guns, hammer etc) and then use matlab to detect these object in a crowded scene held by individuals in the crowd.
THANKS
i need all the matlab file of this video
It's working only with the 2 number
The others not why????
Hello. I am getting an error message ' The EraseMode property is notnsupported and will error in future release'. Is there an alternate code i could use. Thanks
Thank you for your video! Do you also have something on CNN in matlab with time-series data in stead of images?
Still now, there is no content on time series data. However, I will cover them in upcoming videos.
I found there is no gradient calculation for softmax function. and when I try to apply softmax gradient on the backpropagation process in the code the result had terrible score 0.2. Could you explain about it?
Hi!Great explanation .
Thank you for this video. Do you have any idea about implementation cnn for speech recognition?
Please help.
any chance to get the matlab files from the video ?
Great video tutorial. I really appreciate all the work you have done here. I have copied the code into matlab and I believe I’m working with the same dataset as you have. However, I had to change some small parts of the code (probably due to update to the matlab syntax handling)I’m getting less than 10% accuracy in 3 epochs unlike you (>90%). Is this normal? I couldn’t quite understand how you are updating the weights in the code because it seems you are adding them rather than w(k+1)=w(k) -rho*gradient for GD. I can see that you are using mini batch gradient descent with momentum but, for me momentum is: V(k+1) = beta*V(k) - (1-beta)*gradient and weight update changes to w(k+1) =w(k) - rho*V(k+1). Do you by any chance have the written code for testing purposes since I’m getting a different accuracy? Thank you for your time.
To be more clear: I have not changed your code before running but, if I were to change it I would use the equations I mentioned for momentum and gradient descent above. I’m really asking for clarification in this case. Thanks.
Sorry, ***V(k+1)=beta*V(k) + (1-beta)*gradient (not minus in between)***
I understand where the confusion is. I will try my best to prepare an explanation. Would you please email me your concern at faruquizaman27@gmail.com so that I can replay with the explanation?
Nuruzzaman Faruqui Yes sir, I will email you right now. Thank you.
@@yellakc from where i can get this code???
How can I do (deltax_1*W1)? or something like that.
hai sir, thank you so much for making these videos and helping us. sir , i have doubt in training can you please give detailed explanation for training of network in some what brief.
hello thank you for the benefit videos
I would like to ask you about implemention of CNN in the positive and negative text sentiment analysis, how can I implement the procedure of CNN on the text ? can you explain the procedure and codes for me
thank you so mach
I do have a set of downloaded matlab codes for image super resolution and its perfectly running fine with existing datasets and models. But i want to create new model with different datasets and try to run with the existing codes. But i couldn't do so.
It will be very helpful if you assist in creating model from new datasets in matlab
sir i have error in display_network last line in if condition
thanks a lot this is more wonderful but i can not understand display_network function what it do? and how to write the comma in while loop
Sir Please explain :
What does 'D' in MnistConv.m represent?
And the line: blist=1:bsize:(N-bsize+1)
Is bsize the number of hidden layers?
Hello, I am writing from Turkey. How to estimate weight with matlab opencv deep learning? How to calculate kilograms from photos?
i need deep learning based antenna selection for massive MIMO matlab program can you help mee
Can you please make a tutorial for hand gesture recognition using CNN
Wonderful my dear , my question is can apply this cnn on Disease leaves؟
Sir please elaborate the difference between cnn and dcnn
Hi, Thank you very much for the video.
I have one question about implementing CNN in MATLAB.
You've implemented the CNN code by your hand, but, as i heard, there is toolbox to implement CNN easily.
Can you explain the difference between hand writing code and toolbox provided by MATLAB?
Again, Thank you very much for your kind explanation in this video.
I think even the toolbox can generate code of the implementation, but I think he used to write his programs himself.
Hello sir! Great lecture. I have a doubt. At 16:48, I cannot understand the filter = rot90(squeeze(filter),2) line. I read up the documentations of those functions but I still can't understand the reasoning behind doing these transformations.
Hi,
Firstly, thanks very much this video is incredibly helpful!
I notice at the end of the display_network.m you have:
if opt_graycolor
h=imagesc(array, 'EraseMode', 'none', [-1 1]);
else
h=imagesc(array, 'EraseMode', 'none', [-1 1]);
end
Is this not redundant?
Thanks,
Tessa
Thank you so much sir for making these videos. i am a beginner to CNN codeing. Therefore, I wanted to learn a code which you've created through fucntions like load batabase, load labels, activation fuctions(ReLu, SoftMax), Convolution, Pool, Load database Convolution, random, Test Convolution, Display and plot too.
please help me sir. i have tried to get those code's video on internet. but, i couldn't got that.
Hi! Thanks alot for your videos
I'm currently doing with my final year project, which requires me to identify edge in seismic data using DNN in matlab. Do you have any resources that can help me?
Would you please be a little more specific?
@@NuruzzamanFaruquis Thank you for replying , I need DNN matlab source code help me to train my model that can detect the edge in seismic or public images.
If there is no DNN source code can you give me CNN source code to detect in public images.
Hi, thanks for this explain wonderful for video I have a research that is colorization of grayscale images .Do you have any idea about it
Yes, I do. I will upload the video of grayscale to color image conversion shortly. You can look into previous comment. There is another guy, Eman Saleem, working on the same area . Both of you will get a notification when I will upload the lecture.
Thank you.
Nuruzzaman Faruqui Thank you very match
thanks for this video, how do we initialize weights ? is there any rules ??
sir could you tell me.. can I use conventional neural network for prediction of state of health of battery.. please guide me
why do we use 20 convo 9x9 filter? where is it come out? Any rule for the filters?
You asked a very good question.
It is an example. You can change the number of filters.
sir can you do matlab simulation of neural network for non linear system with taking some research paper?
Sir can you pls explain the momentum command and epoch command used in your code?