Lecture 5: Neural Networks

[@zhaobryan4441]

truth be told, the way you teach should be the standard in this field

[@mohamedgamal-gi5ws]

Dr. justin is a great lecturer I came here after I finished Andrews Ng courses on coursera and I understanded a lot of concepts in a different fashion .

[@chriswang2464]

the greatest lecture for Computer vision intro of all time

[@omarespino964]

TRUE indeed! ❤

[@andrewstang8590]

He understands very much the background of the students he is teaching. Luckily, this works for us all😅

[@도정찬]

i love this lecture thank you prof.justin! i had a lot of trouble with studying computer vision alone before watching your lecture. this is really helpful for me.

[@hasan0770816268]

notes to self: 2:25 feature transforms to overcome shortcomings of linear classifiers 13:19 neural nets 24:40 activation function 35:13 space warping (search-space) and why use non-linearity 53:00 convex functions (training linear models optimizes convex functions)

[@kelllogg]

39:45 awesome visualization of how ReLU works!! Thanks prof.Justin

[@jacobogerardogonzalezleon2161]

This is GOLD. Thanks Justin!

[@littletiger1228]

beautiful

[@asiimwepison]

How I wish I had this lecture 3yrs ago Purposeful Lecture

[@mohammadvahidi5483]

great lectures thanks

[@Davide-bx3js]

Amazing job, thanks a lot

[@ssossonyo]

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