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
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.
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.
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.
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, 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.
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.
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.
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.
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.
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
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!
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.
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.
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! is the value of each filters in convolutional layer corresponds to its weights? I already trained a network in matlab and i want to simulate the prediction programatically in java by using the trained weights and biases of the network. How can i achieve this?
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. There are multiple functions. I couldn't paste them in the description. However, as I am getting numerous requests for the code, I will try to come up with a solution to provide the code. In the meantime, you can take the code from the last section of this video and type it in MATLAB.
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
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.
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?
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!
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. '
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.
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?
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
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
That's a very nice question. We use gray-scale image to train neural network. To identify color, you can split the images into channels. Based on the average value of each channel, you can calculate the intensity of the color.
I'm working on coloring gray images using this type of neural network where I enter a picture and I want the output to have image of how it is done ? Will I have a reconnaissance with you via email?
It's an interesting project. So far I can remember, in 2014, I wrote a Matlab code that assume the color of grayscale image by comparing with similar RGB image. If we can train a Deep Neural Network that can recognize the picture and can find similar pictures, we can use my old code to build such system.
Hi sir thank u for wonderful explanation . Sir i am working on l gender classification using local binary pattern and cnn classifier do u have any idea ??
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
very good lecture. You have made a complex topic simple in deep learning please if you have time to response me can i load my own data train in this code ??
Thank you for your compliment. You encouragement is my strength. And yes, you can use your own data, modify the code or whatever you want to do with this content.
@@NuruzzamanFaruquis Dear Sir how i can train my own data set ?? i need two main parts the first one labels and training images like the data set Mnist here is my problem how i can prepare my data?? could you help me pleas ? if you have time
I understand you are having trouble with preparing the data-set. I have prepared another video tutorial where I explained how to recognize human face using Matlab and I also explained how to prepare data-set. I hope it will help you.
@@NuruzzamanFaruquis thanks a lot sir about your attention for my problem i'm waiting you i'm a master student and i need it as soon as possible pleas could you inform me when you'll upload the video ????
Hi sir, thank you for this wonderful explanation for the video I am working on Brain tumor segmentation using CNN. Do you have any idea about it? please help me sir.
Thank you for your complement. To train a CNN to detect brain tumor you have to do the followings - 1) collect training images (5000-10000 images) 2) process them (convert into gray-scale, resize them into same size) 3) using the procedure I explained, load the dataset 4) train the ConvNet and save it (the process has been shown in the video) Once you are done, using the saved CNN, you can recognize brain tumor from other images.
@@dr.b.srinivas5505 Step 1: train the network Step 2: provide input images Step 3: if brain tumor is found, segment the input image as 'positive' Step 4: segment as 'negative' otherwise Step 5: repeat step 1 to 4 for all of the input images I hope you found the solution you have been looking for.
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
Thank u very much for the CNN code.. Could you just explain what you have done in the BACKpropogation of the CONVOLUTION layer. I mean how do you do derive dW1 of the convolution layer..
one of the best tutorials on implementation of CNNs. Thank you so much. God Bless 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
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 RUclips 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.
Thank you for your video！I learnt a lot from it！
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?
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!
Great work! I really learn a lot. Thanks for sharing your knowledge.
really informative video sir.. Iam working on medical image security. sir please do a video of segmentation of images using CNN
thanks allot for your help and explanations. can u attached the matlab code please? thanks
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.
Very precise. Thank you very much. you saved me from the misery of my final year project T_T
A very clear lecture. A great resource for new learners.
Thanks very much..can you explain layer and option functions for cnn pleas???
I will try. Thank you for the comment.
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.
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.
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 ?
God Bless you. Thank you for sharing your knowledege.
I have inspired for your explanation and video. I request you that, please do video brain tumor segmentation using CNN. thank you sir.
Thanks, very good you presentation
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.
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
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.
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
wonderful explanation. keep on
Sir thank u for everything
You prepare perfect video , I learned so many thing and
I am grateful to you for what you did.
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.
How to apply this code sir to your previous videos in Classification of fruit Using CNN
Hi sir, Thank you for your video
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
Best explanation out there! Love this video…new subscriber for u :)
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
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.
Hi mister, thank you for your video. I want to ask how to make it in Gui of Matlab?
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??
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
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.
GOOD VIDEO ,,Thank you very match
Great lesson, thumbs up
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.
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.
Thank you for your very nice presentation, How can I use this CNN for 1D input vectors?
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.
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 sir thanks for this video. I have final year project of fire detection using CNN technique. Can you help me in this regard.
Tank you for the whole playlist on this topic. Awesome work!!! Did you publish your scripts and functions for interactive learning?
Wonderful my dear , my question is can apply this cnn on Disease leaves؟
Hi! is the value of each filters in convolutional layer corresponds to its weights? I already trained a network in matlab and i want to simulate the prediction programatically in java by using the trained weights and biases of the network. How can i achieve this?
I need to check if the '.mat' file type works in Java or not. I will reply once I will have got the answer.
thank you , it is best course in deep learning , but the big equation is (how use CNN?) , How can I benefit from this network?
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.
Hi!Great explanation .
Thank you for this video. Do you have any idea about implementation cnn for speech recognition?
Please help.
hello and thanks for this informative tutorial. Please is there a link to access the code??? Would like to implement it myself.
Thank you.
There are multiple functions. I couldn't paste them in the description.
However, as I am getting numerous requests for the code, I will try to come up with a solution to provide the code.
In the meantime, you can take the code from the last section of this video and type it in MATLAB.
thank you. however i would recommend you set up a github account to support your channel.
Thank you for the suggestion. I will look into the possibilities.
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
thanks for this video, how do we initialize weights ? is there any rules ??
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.
Thanks sir for an excellence presentation , is CNN suitable in data prediction ? or its just only for image recognition
hi, can I implement this code on 1D-audio ?what is the change is require?
Thanks for this useful video. I done this code but there is problem in loading image. The output showed like just 5X4 box.
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???
Sir please tell that CNN whether work in Matlab 2015 version or not
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!
sir can you do matlab simulation of neural network for non linear system with taking some research paper?
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. '
Hello sir, I'm wandering if you have data set related to vehicles for classification by CNN!
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.
any chance to get the matlab files from the video ?
Thank you so much!
Sir can you pls explain the momentum command and epoch command used in your code?
What happened in this code If I need to detect a watermark image ?? Thanks sir
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?
where can we get the codes use in the examples? If feel some places in video it is not possible to type them?
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.
Can you please make a tutorial for hand gesture recognition using CNN
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
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
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 the ingisht sir, I have a question. How do I train the neural network to identify colors?
That's a very nice question. We use gray-scale image to train neural network. To identify color, you can split the images into channels. Based on the average value of each channel, you can calculate the intensity of the color.
@@NuruzzamanFaruquis do you have tutorials on this one sir?
I'm working on coloring gray images using this type of neural network where I enter a picture and I want the output to have image of how it is done
?
Will I have a reconnaissance with you via email?
It's an interesting project. So far I can remember, in 2014, I wrote a Matlab code that assume the color of grayscale image by comparing with similar RGB image. If we can train a Deep Neural Network that can recognize the picture and can find similar pictures, we can use my old code to build such system.
Hi sir thank u for wonderful explanation . Sir i am working on l gender classification using local binary pattern and cnn classifier do u have any idea ??
hello sir, If we have only dataset, no labels then which modifications we should do in the code?
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
very good lecture. You have made a complex topic simple in deep learning please if you have time to response me
can i load my own data train in this code ??
Thank you for your compliment. You encouragement is my strength.
And yes, you can use your own data, modify the code or whatever you want to do with this content.
@@NuruzzamanFaruquis Dear Sir how i can train my own data set ?? i need two main parts the first one labels and training images like the data set Mnist here is my problem how i can prepare my data?? could you help me pleas ? if you have time
I understand you are having trouble with preparing the data-set. I have prepared another video tutorial where I explained how to recognize human face using Matlab and I also explained how to prepare data-set. I hope it will help you.
@@NuruzzamanFaruquis thanks a lot sir about your attention for my problem i'm waiting you i'm a master student and i need it as soon as possible pleas could you inform me when you'll upload the video ????
sir could you tell me.. can I use conventional neural network for prediction of state of health of battery.. please guide me
can u implement alexnet ?? is there is any difference???
why did you choose "bsize=100" in MNISTConv.m?
Thank you
bro how to get graph with this programme along images output
Would you please be more specific? If you would tell me which type of graph, I could help you.
How can I do (deltax_1*W1)? or something like that.
Hi sir, thank you for this wonderful explanation for the video I am working on Brain tumor segmentation using CNN. Do you have any idea about it? please help me sir.
Thank you for your complement.
To train a CNN to detect brain tumor you have to do the followings -
1) collect training images (5000-10000 images)
2) process them (convert into gray-scale, resize them into same size)
3) using the procedure I explained, load the dataset
4) train the ConvNet and save it (the process has been shown in the video)
Once you are done, using the saved CNN, you can recognize brain tumor from other images.
@@NuruzzamanFaruquis thank you sir
sir, in this process how to get the segmented image of a brain tumor?
@@dr.b.srinivas5505
Step 1: train the network
Step 2: provide input images
Step 3: if brain tumor is found, segment the input image as 'positive'
Step 4: segment as 'negative' otherwise
Step 5: repeat step 1 to 4 for all of the input images
I hope you found the solution you have been looking for.
i need deep learning based antenna selection for massive MIMO matlab program can you help mee
Hello, I think that your training algorithm at the end layer (dW0) needs to be multiplied by the partial derivate of softmax
How to use convolution neural network for visual speech recognition?
An excellent question. I am saving our question as a topic. In upcoming lectures, I will try answer this question.
@@NuruzzamanFaruquis
Thank you
can this code run in matlab 2016b?
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
Thank u very much for the CNN code.. Could you just explain what you have done in the BACKpropogation of the CONVOLUTION layer. I mean how do you do derive dW1 of the convolution layer..
can u send me the code @ rahul.f4@gmail.com
Can you sent me the code please! @ wafa.alameen@hotmail.com
thanks a lot.