"Another cool example from Johnson et al." 😁 01:07:25 "Another recent example from et al., Johnson" 😁😁 01:08:39 Amazing lectures. Even better than those form 2017

Thank you so much for making this public

When we compute the average precision (42:52) is this for one image? a batch? the whole training set?

I can’t wait to take this course, especially after taking Psych 390 with Dr. Mahalingam!

Thanks !!

at 27:09 shouldnt embeddings of last 2 input equal? they are both same token. why their embeddings are different?

Please make Justin Johnson's other courses available; they are truly gifts to humanity. As someone from a developing country, I have gained so much knowledge from these exceptional resources, learning from the best minds in the world.

A truly transformative experience, highly recommend!

Great resource, thoroughly researched + beautifully curated! Thanks a lot for the teachings!

At 58:56 prof Johnson tells something huge imho , the final equation is not formed by jacobians , finally I got it..simply the best explanation on the backprop .Thank you prof Johnson

WOW

25:06 Isnt the loss in SGD computed for an example, what differences would SGD have over Minibatch gradient descent then?

That Hot dog and not hot dogs was from Silicon Valley. The professor watches the show :)

This was great! Thank you for sharing

I finally understand backprop!

Thank you for the great lecture) Greatings from Ukraine!

i gained a better understanding of generative models as soon as i saw the thumbnail without even watching the video thanks

Thank you for the lecture! Greetings from Ukraine)

Thank you for an amazing lecture from Ukraine!

Excellent people course ❤❤❤

olio

🧠

I watched a lecture on RNN delivered by him on Stanford channel on YT, that was good

probably one of the best CV courses out there

Thank you very much! I really enjoy this lecture! Hello from Russia with love :)

Over 10 years ago I seen a huge giant UFO hovering the strip of the place called the green in Sycamore Meadows in Ypsilanti Michigan it was after 3 am I always look in the sky to see if I'll ever see it again and keep looking online every so many years at ppl picture to see if someone see the one I seen

How long us course? Go Blue

unidentified objects!!!!!

to quote Thomas Jefferson, “Extraordinary claims require extraordinary evidence.” 👽🤪

Really great lecture!

Amazing!

Such an amazing lecture with easy-to-understand examples!

+275K views and so few comments. Hmmm...

They are not civilization came from another world or star system. They are dark entities.

really thankful for these lectures. a very thorough introduction to the advances in DL in the last 10 years, and much more updated than the CS231n 2016 version. thank you Prof Johnson.

Great lectures!! Pls keep posting the latest series! Thank you!!