Tutorial 110 - Binary Classification using Deep Learning

[@ashanbandaranayeke9344]

Watching these great videos in 2024. Love them! Finished the breast cancer binary classification tutorial. Thank you Dr. Sreenivas!

[@wilgarganera5524]

thank you so much! your videos helped me finish my undergraduate thesis

[@michaelchatzakis2276]

These sum up videos from start to end with real uploaded data images are the most helpful. Thanks once again! Watching all the theory videos before really helped out understanding the procedure, they are worth viewing as well (speaking to people who get bored with the theory).

[@Xiaoxiaoxiaomao]

The BEST thing in your videos is explaining ROC AUC curves and Confusion matrix for each individual problem separately.👍🏻

[@ZEISS_arivis]

Glad it was helpful!

[@pedroramon3942]

I have a question: Why you choosed to resize all imags to 150x150 ? could it be 250x250 or lower quality? How can we determine the optimal iput image sizes for a given case study?

[@tilkesh]

Thank you very much.

[@gouthamvasam3399]

I binge watched most of your videos - awesome content! For smaller image datasets (2000-5000 images per class) is it possible to do k-fold cross validation with or without imagedatagenerator to use entire dataset for training and validation? Other online content is less helpful on this context. Any help would be appreciated and a video would be great. Thank you!

[@ZEISS_arivis]

Yes you can. You need to put your model.fit in a for loop where you iterate over each fold. This can be done with or without generator. I will add this topic to my list of future videos.

[@gouthamvasam3399]

@@ZEISS_arivis Perfect, thanks!

[@ainiaini4426]

Can I use the same code for glaucoma (an eye disease) detection using 700 image dataset?

[@ZEISS_arivis]

Yes, of course. This video explains the process, you can use the technique to classify your own images.

[@mdrejaerabbitonmoy4801]

Hello sir. The link that you provided is not working. Can you please update the data in drive and share it here??

[@ZEISS_arivis]

Just search for "Malaria data set" and you may find it. Here is one such plane: www.kaggle.com/datasets/iarunava/cell-images-for-detecting-malaria

[@xiaogecheng3335]

Good day sir, I really love your videos as the explanations are very clear and understandable 👍🏻 May I ask are you going to do a video about the calculations of IoU and its performance metrics on deep learning object detection in Python? Thank you so much

[@ZEISS_arivis]

I have already talked about IoU in the context of semantic segmentation. Concept is similar for object detection. kzbin.info/www/bejne/fZSXc3SApc99gaM

[@xiaogecheng3335]

@@ZEISS_arivis alright, thank you so muchh Sir 😁👌🏻