thank you MOM . But i have one question. in this line of code vgg = VGG16(input_shape=(img_rows,img_cols,3), weights='imagenet', include_top=False), we are exercising on medical datset and they are not coloed image,we use the numbe rof channel=3 why? it is not clear for me. can you help me please.
Mam, img = cv2.resize(img,(224,224)) for these line I am getting error of (-215: Assertion failed) !ssize.empty() in function 'resize'. What to do?? Plz reply fast mam its my project of final year and tomorrow I have review for it.....plz help me.
Hello. Hope you are doing fine. I am an undergrad student . I am working on a project. Can you guide me in a query. I have CT scan dataset in the form of DICOM meaning for a single CT scan I have 100 layers. Should I feed the whole data into my deep learning model or should I feed the single malicious layer into my model. Thankyou
Why did you add layers to the model? Is it required for transfer learning to work or is it just an attempt at improving accuracy? Also, do you know if it is possible to display a class activation map, and how to do it?
Those models are built on ImageNet dataset. If you want to create model for your dataset then we need to add some top layers so that it learns the specific features of ur dataset. Otherwise accuracy may be very low.
Hey maam, I am a final year medical student from India. This was a really insightful video. I myself am currently interested in the deep learning in radiology. I currently have access to more than 1 million radiology images. I want to use transfer learning method for my research, but this is too complex for me. That is why I am reaching out to you to let you know if you'd be interested in collaborating on my research project.
very less time to cover more helpfull info , thanks u
thank you so much mam.. super clear cut explanation mam..kindly upload image to text genration also from generative ai mam kindly
Thank you mem...thanks a lot...❤️
Most welcome 😊
Good job mam keep vloging God bless 🙏
thank you MOM . But i have one question. in this line of code vgg = VGG16(input_shape=(img_rows,img_cols,3), weights='imagenet', include_top=False), we are exercising on medical datset and they are not coloed image,we use the numbe rof channel=3 why? it is not clear for me. can you help me please.
12.48 time , why softmax activation for two class problem, can we use sigmoid there?
Pleaselease visit my channel and patiently listen about vgg19 ur doubts all doubts will be cleared. Sigmoid cannot be it's not adding upto..
dear brother sigmoid activation function can be used.
Softmax is good for classification.. it enhances the true positives.
Softmax is like probabilities adding up to 1
Since it is 2 class classification problem so you can use sigmoid . Suppose it is 3 class classification then you've to use softmax .
nice video, one note 100 - 33 = 67, not 77, at 6:51
thank you for this
Mam, img = cv2.resize(img,(224,224)) for these line I am getting error of (-215: Assertion failed) !ssize.empty() in function 'resize'. What to do?? Plz reply fast mam its my project of final year and tomorrow I have review for it.....plz help me.
Did the problem resolve? Tell me i have practical today
Hello. Hope you are doing fine. I am an undergrad student . I am working on a project. Can you guide me in a query. I have CT scan dataset in the form of DICOM meaning for a single CT scan I have 100 layers. Should I feed the whole data into my deep learning model or should I feed the single malicious layer into my model. Thankyou
Very good 👍👍
Pleaselease visit my channel and patiently listen about vgg19 ur doubts all doubts will be cleared.
why is the color channel of the model set to 3 if the images are in grayscale? Shouldn't it be 1?
dear madam why you didn't detected tumor in images,?? i'm interested for this model so please answer me and thnks
what accuracy does this model get
Where can I find the code which you have written ma'am
Thank you Madam. Which transfer learning model will you suggest for biological sequence classification ?
ProtBERT
Why did you add layers to the model? Is it required for transfer learning to work or is it just an attempt at improving accuracy?
Also, do you know if it is possible to display a class activation map, and how to do it?
Those models are built on ImageNet dataset. If you want to create model for your dataset then we need to add some top layers so that it learns the specific features of ur dataset. Otherwise accuracy may be very low.
Please, how can i pass my dataset without training in Vgg16(FC7-Layer- Feature extraction) through Jupyter Notebook?
if you are going to use only for feature extraction then you can set layer.trainable=False
@@investime247 Thank you so much
Can We use the same model for accident detection images (yes/no)
Ya sure
can we have the google collab fille please ?
Hey maam, I am a final year medical student from India. This was a really insightful video. I myself am currently interested in the deep learning in radiology. I currently have access to more than 1 million radiology images. I want to use transfer learning method for my research, but this is too complex for me. That is why I am reaching out to you to let you know if you'd be interested in collaborating on my research project.
Ya sure. This is my mail id: hemalatha2107@gmail.com
I would like to collaborate too
Might be model is overffited!
Thank You So Much! well explained.!. can you make more videos about deep learning
Superb session ..i will be in touch with you for my research work . Your help is appreciated mam
Sure 👍
Thank You So Much! well explained.!
how to Identify whether an image has a tumor or not by uploading an image as an input?
Super presentation. One question, Can we add xgboost classifier into this model?
Yes u can
Amazing tutorial
Very informative. Please make such videos for image segmentation as well. Thanks
Well explained
Pleaselease visit my channel and patiently listen about vgg19 ur doubts all doubts will be cleared.