Deep-learning in Health care || Image Classification using(VGG16)?

In this video I have build a image classification model using VGG-16 pre-trained model.
What is pre-trained Model?

How to import the dataset from kaggle

Link to download the dataset

Code:

[codealongmahesh-sdol]

very less time to cover more helpfull info, thanks u

[senthamilselvirajavel]

thank you so much mam.. super clear cut explanation mam..kindly upload image to text genration also from generative ai mam kindly

[datascienceworld]

Very informative. Please make such videos for image segmentation as well. Thanks

[pankajkunekar]

Superb session ..i will be in touch with you for my research work . Your help is appreciated mam

[igcserevision]

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.

[thaitaile]

Thank You So Much! well explained.!. can you make more videos about deep learning

[alexomelak]

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.

[ransaramudalige]

Thank You So Much! well explained.!
how to Identify whether an image has a tumor or not by uploading an image as an input?

[RAZZKIRAN]

12.48 time, why softmax activation for two class problem, can we use sigmoid there?

[laybasheikh]

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 help me.

[WordsThroughTheSky]

nice video, one note 100 - 33 = 67, not 77, at 6:51

[claudiap]

why is the color channel of the model set to 3 if the images are in grayscale? Shouldn't it be 1?

[MuhammadMaab-osgu]

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

[ivtojoy]

Thank you Madam. Which transfer learning model will you suggest for biological sequence classification ?

[SP-cgfu]

Super presentation. One question, Can we add xgboost classifier into this model?

[amrirawen]

dear madam why you didn't detected tumor in images, ?? i'm interested for this model so please answer me and thnks

[filipegomes]

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?

[ckdufqk]

Where can I find the code which you have written ma'am

[riadelectro]

Please, how can i pass my dataset without training in Vgg16(FC7-Layer- Feature extraction) through Jupyter Notebook?

[alivingbeing]

Can We use the same model for accident detection images (yes/no)