8817 Schmitt Course

Classification works on - Conventional Nural Network(CNN) Object detection works on - Region based - CNN.

It was easy and point to content thank you

thank you

Can you please elaborate the clusters and characteristics of each cluster...please....what kind of business insight can be derived from these 5 cluster...could you please explain??

why you aren't uploading videos

can you please explain the function which are used , for better understanding

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Thank you！

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Very well explained! Thank you!

helpful but wheres code

Thanks!

Thanks for sharing

Thanks for such simplified explanation

Now i understand

Amazing explanation

i need help for my project related to this if you are interested give me your email.

best explanation ever . thank you

Great explanation, I couldn't understand on the paper. Thank you so much from France !!

Thanks! It's a great video that clearly explains the R-CNN family. I just have one question: for the comparison table (shown from 9:20), have you measured the time of the two stages (region proposal and classification) separately for the three R-CNN models? That will help us understand the portion of time consumed for the bottleneck: stage #1 (region proposal).

I want to implement Faster RCNN from scratch, this video will going to help me creating it. I was waiting for this explanation video, thank you for this video and for sharing knowledge. ✌️

The video has basic explanation of the RCNN family which is great, it would be so helpful if you will make a video on "How the ROI pooling layer works" Fast RCNN, and "How the SPP layer works" Faster RCNN. Again, the explanation is so great, I didn't find any other videos which explains like yours, and please create videos on the topics which I referred. 😁😁