Hi this amazing project ,thanks for your effort can i contact with you to help me with some thing , i have a data set about diabetic rethinopathy and i want to know how can i build the model to detect diabetes ,
🔥Thank you for your kind words about the project! I'm glad you found it helpful. I'd be happy to help you with building a model to detect diabetic retinopathy using your dataset. Sure, if you need additional help or guidance, you can contact Codersarts by visiting their website at 🔗codersarts.com or emailing us at 📧contact@codersarts.com. We offer a range of services related to data science, including building custom machine learning models, data analysis, and more. 🤞Good luck with your project!
In my kaggle the setting option is not available by which i can choose the GPU ,how can i do that ,.........also please tell me can i train this project on DGX supercomputer
Hii sir this is the good project ,sir plz provide the data like existing and proposed data plzz sir and also what is the disadvantage of existing project and what is the advantages of proposed project.what algorithms are used in existing project and what are the proposed algorithm.plzzz sir reply this is the very helpful too meeee plzzz reply sirrr..........
This below code is not run properly please check it.Thanks X_train,X_test,y_train,y_test = train_test_split(X_train,Y_train,test_size=0.1,random_state=101)
To Receive Personal answer, We have made it as easy as possible for you to get in touch with a vetted and experienced mentor. www.codersarts.com/book-online
history = model.fit(X_train,Y_train,epochs=30,validation_split=0.1) While executing this code, the accuracy in my case keeps on decreasing with every epoch? Is there any mistake in the code?
i added the batchNormalization layer after the convolutional layers like model.add(BatchNormalization()) this improved accuracy a lot i get 89% accuracy with just epochs=8
Can we create an application for the detection where we will give an MRI image as an input and we get the detected output?if yes how can v connect this code with the application so that it works
Thank you for your interest in and your query regarding the creation of an application for MRI image detection. We appreciate your enthusiasm for this topic. Regarding your question, yes, it is possible to create an application that takes an MRI image as input and provides a detected output. We offer paid services for implementing such projects, and we would be delighted to assist you in developing a customized solution tailored to your specific requirements. To discuss the details and scope of the project, including pricing and implementation timelines, please feel free to reach out to us at contact@codersarts.com. You can also visit our website at www.codersarts.com for more information about our services. We look forward to hearing from you and exploring how we can collaborate to bring your vision to life. Thank you once again for your interest in our services. Best regards, The Codersarts Team
great explaination. Keep up the good work sir
Thank you, we will
Thank you so much
You're most welcome
Your explanation is good😊
Thanks a lot 😊
Sir on what basis the model is classifying the types of tumour (what aree the features )
he used deep learning model(custom CNN) which extracts features on his own. that is why there is no feature engineering
Good project and explanation
Glad you liked it
Wonderful project. Thankyou ✅💯
Thank you too!
Which version of tensorflow you used?
Hey can you add any other models to it ?can you suggest which model goes with it ?
Pls reply as I am doing the same project for my final year😢
@@sameekshashetty4391yes me too can you help me with it
thank you
You're welcome
in last if im calling for other output from no tumor its still showing 3 !!! how ?
Yes same results?
What to do?
@@shanmugapriyant8064do you found any solution
do you found any solution
@@abdelrhmanfathy1320 no
Hi this amazing project ,thanks for your effort can i contact with you to help me with some thing , i have a data set about diabetic rethinopathy and i want to know how can i build the model to detect diabetes ,
🔥Thank you for your kind words about the project! I'm glad you found it helpful. I'd be happy to help you with building a model to detect diabetic retinopathy using your dataset.
Sure, if you need additional help or guidance, you can contact Codersarts by visiting their website at 🔗codersarts.com or emailing us at 📧contact@codersarts.com. We offer a range of services related to data science, including building custom machine learning models, data analysis, and more.
🤞Good luck with your project!
how can i use this code in jupyter notebook how to bring dataset there
Where can I get the code
Train test split part is now working on my laptop
thanks alot
Most welcome
Sir, please provide the link to part -1
In my kaggle the setting option is not available by which i can choose the GPU ,how can i do that ,.........also please tell me can i train this project on DGX supercomputer
Is your code using vgg architecture while doing convolution and pooling?
It is inspired from VGG16 but is a modified form for faster execution with accuracy maintained
can i get part one in this video ?
th-cam.com/video/lHYXcwJ9i-I/w-d-xo.html
There is no option to select accelerator in kaggle notebook right now ?? What to do ?
you may have to verify your mobile number....the option will be where the accelerator option is showing in the video
Verify your phone number and use GPU because else it will take a lot of time to execute the training part
Hii sir this is the good project ,sir plz provide the data like existing and proposed data plzz sir and also what is the disadvantage of existing project and what is the advantages of proposed project.what algorithms are used in existing project and what are the proposed algorithm.plzzz sir reply this is the very helpful too meeee plzzz reply sirrr..........
Check description, code and solution is already given
This below code is not run properly please check it.Thanks
X_train,X_test,y_train,y_test = train_test_split(X_train,Y_train,test_size=0.1,random_state=101)
Can i run this project on jupyter notebook ?
Yes, you can run.
Is using GPU P100 costs money? or can we use it for free?
How to make a webapp for this project? can you help please !!
To Receive Personal answer, We have made it as easy as possible for you to get in touch with a vetted and experienced mentor. www.codersarts.com/book-online
You can use streamlit for that which is explained in bank exit project
save the model in .h5 form and implement it either in django or flask. it would work perfectly
in kaggle, setting option is not showing to set GPU so what to do sir..
In notebook there is 3 dot in upper side, just click on it you will find Accelerator option
you may have to verify your mobile number....the option will be where the accelerator option is showing in the video
Verify your phone number and use GPU because else it will take a lot of time to execute the training part
plz mention the link of the first part
Here is part 1 link : th-cam.com/video/lHYXcwJ9i-I/w-d-xo.html
@@CodersArts thank u
history = model.fit(X_train,Y_train,epochs=30,validation_split=0.1) While executing this code, the accuracy in my case keeps on decreasing with every epoch? Is there any mistake in the code?
Same brother it's even same with me
Can Any One solve this problem
i added the batchNormalization layer after the convolutional layers like model.add(BatchNormalization()) this improved accuracy a lot i get 89% accuracy with just epochs=8
@@zaintahir3348 This works, Thank you!
can you help me in my project?
Please send your requirement details at email id contact@codersarts.com. our team will review and let you know.
Can we create an application for the detection where we will give an MRI image as an input and we get the detected output?if yes how can v connect this code with the application so that it works
Thank you for your interest in and your query regarding the creation of an application for MRI image detection. We appreciate your enthusiasm for this topic.
Regarding your question, yes, it is possible to create an application that takes an MRI image as input and provides a detected output. We offer paid services for implementing such projects, and we would be delighted to assist you in developing a customized solution tailored to your specific requirements.
To discuss the details and scope of the project, including pricing and implementation timelines, please feel free to reach out to us at contact@codersarts.com. You can also visit our website at www.codersarts.com for more information about our services.
We look forward to hearing from you and exploring how we can collaborate to bring your vision to life. Thank you once again for your interest in our services.
Best regards,
The Codersarts Team
It's classification not detection.
well he has implemented both detection and classification together. A no tumor class also exists in the dataset.
@@pratyush8983 Then where is the bounding box?
You mean segmentation @@mdyounusahamed6668
5:55
@CodersArts