Tutorial 123 - Deep learning architectures and benefits via transfer learning

Code associated with these tutorials can be downloaded from here: github.com/bns...

[@fayezalhussein7115]

today i finished this great playlist, I tell you with all sincerity and without exaggeration that these are the lessons I have seen in deep learning, and I have benefited from them in an unbelievable way .. Thank you very much

[@zahidrasheed5273]

First of all, I would like to say many thanks to you for the free education and time, I am a beginner in the image processing research field, I watched all videos on this channel, I learned a lot from these tutorials and waiting for more videos.

[@AmartyaMandal7]

Thanks for all the videos uploaded so far. Great content and very helpful for a beginner in the world of medical image processing and AI. What are some of the topics you plan to cover next? Could you please continue this series as I am looking forward to learn more from your videos 🙏

[@sjchodavid]

Thank you for giving me deeper understandings on the transfer learning

[@ZEISS_arivis]

Our pleasure!

[@rajigopinathan6607]

Great work Dr.Sreenivas....Each word you utter is a kind of knowledge. Can you do one video on EEG data processing?

[@KhushbooKumari-fn8mi]

I would like to thank you for all these videos. Awesome work!! Could you please upload a video on camera calibration distortion correction by Zhang method. Thank you!! 😊

[@GohOnLeeds]

Are you doing a tutorial 124? The channel was just getting interesting 🙂

[@tilkesh]

Thank you very much.

[@pooriabahman9074]

Firstly, I would appreciate your perfect tutorials. it has been much help to me. please if it is possible, make a video for the DeepLABv3 network. also if you make a tutorial about 3D machine vision I would be very thankful.

[@JwanKAlwan]

Well explained .. but do you think that it is useful to use pretrained model to train tumor shape since as you know tumor shapes are not fixed (round or square) they are usual irregular .. Thanks

[@ZEISS_arivis]

Pretrained model is just a starting point, you need to further train to customize for your specific task.

[@JwanKAlwan]

we are still tuned to see the next videos please upload all series🙏🙏🙏🙏

[@ZEISS_arivis]

I have uploaded all videos I have recorded so far. If you watched all videos in this channel and practiced using the shared code, you should be ready to start experimenting on your own. I may upload more videos in the near future but not planning for any videos in the next few weeks.

[@michaelchatzakis2276]

Thanks for the video!

[@ZEISS_arivis]

You're welcome!

[@marydayanaa9130]

Well explained. Thank you.

[@ZEISS_arivis]

Glad you liked it

[@JwanKAlwan]

please from where we can get dataset for ct lung with ground truth

[@anusreedey6363]

PLEASE UPLOAD ALL SERIES

[@MrNouhsabri]

The tutorial_123 file does not exist on the Github?

[@ZEISS_arivis]

Auto-upload appears to fail. You should see it now. Thanks for alerting me.