Thank you Jeremy and Rachel!
From TW, thank you Jeremy and Rachel for this great course!
Thank you Jeremy and Rachel for this wonderful class!
Thank you Jeremy and Rachel! Loved the class! Really appreciate what you guys are doing.
So Long, and Thanks for All the Fish!
Thank you so much for this amazing course!
Thank you Jeremy and Rachel for a very wonderful course.
Love how Jeremy addresses the impostor syndrome. It’s really motivational. Thank you for taking the time to share your knowledge and motivations with us.
Thank you so much @rachel and @jeremy! This is the best course that I have attended. I hope to do something useful with all that you have taught us. Thank you once again for sharing your knowledge with us. Hope to connect with you someday. Bye!
I think that the checkerboard pattern is much less likely to appear in the output of the U-Net because you’re predicting 0s and 1s in the output mask (or the range 0 to c for multi-class segmentation), rather than trying to output an image with real pixel values. So you don’t need more complicated techniques like subpixel filters
Thank you Rachel and Jeremy.
Congratulations to everyone for making it through. I hope to see and hear about all the great things you all make after taking this course!
Sad that the course is ending
Thank you very much Jeremy and Rachel for the amazing course…
Thanks for the great course!
Thanks a lot, Rachel and Jeremy!
Thanks everyone … And of Course Jeremy And Rachael … It was an Awwwessomeeee… journey with all of you guys… I mean seriously … I have learnt so much in just few weeks than I would have in maybe years… I am blessed to have you all … Thanks once again…