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Jewish women are fine women.

interesting problems

Love the laughs in this presentation! hehe

@18:00 the speaker, Tom Goldstein is answering a questioin: Is this the whole error surface? His answer contains good news and bad news. It's good news insofar as it's pretty far relative to the weights involved, but it adding skip connections does not convert it to a convex optimization problem. At least that's what I get from the question and the answer.

At 25:11, I think u(T) won't diverse as it is assumed that real part of eigenvalues are negative. Thus solution is bound to decay. [[Referring to eigenvalues mentioned in the problem description slide.]] I really liked the Childs style of explaining.

Such a nice and inspirational talk!

Fantastic! Exactly what I needed!

how you calculate the local error at 6:44 3*15+1=16

Sorry to say but the way of explanation is very poor, but the topic was very important for beginner.

I want to join mathematics

Awesome presentation!

Great Hugo

Great talk Yuval! I have a question though about one part of the presentation. For proof idea 1, I'm not sure why the event that the d-rigidity closure of our random graph is 'small' is contained within the event that at most dn-((d+1) choose 2) of the r_i's are larger than alpha. The part I'm struggling to understand is the 'containment' of the former event in the latter. Any help would be appreciated. Thanks!

Thank you for share!

A very interesting talk, thank you!

Fantastic presentation. Thanks Josh!

Incredible presentation

Amazing lecture

thank you for give opencourse, this very useful for me cannot go to university.

Absolute gem of a video!!

Showing videos off medication followed by on medication is ridiculous. Can we not follow the basic rules of science please?

That is great!

Superb ❤

Excelent performance, only that her accents is irritating

Why is it better than surrogate based optimization?

i love the exposition from water ice to a linear representation. makes the talk so much easier to bite into.

This subject is not easy for me, so thank you very much for these explanations.

I really enjoyed this, thanks for uploading it! Just to note, it was very hard to find this video! XD

Very interesting!

thx for explanation

Thank you for amazing lecture

So he says 1trln qubits but writes 1bln. Which one? Also, physical or logic qubits?

Coq, Lean, & Agdq are the holy trinity of Formal proof assistant!

Type coercion is much less cruel han any oyher type of coercion!

The West coast is tne one that I call home! "Invisible Mathematics that seems very valuable to me!

Thanks to the author for the excellent work. How to implement batch processing of neural NMF?

wiggle stereoscopy

This is a much better Focus for Science and Far More Important than spending money on Particle Physics, Dark Mater, Dark Energy or String Theory!

Very interesting!

This woman doesn't know what she is talking about.

lmaoooo. (0,1) oh, (1,∞)? nbd. ℵ₁ = 2ᴺ◦ i love maths.

This talk slaps!

not a good lecture. what is the point of all of this? its like someone reciting a textbook outloud. giving a real lecture is something different, this is waste of time

cool 🏹

Amazing presentation! Congratulations!

Such an informative introduction to e3nn! Thank you. Tess!

how to use any arbitrary metric , which means how to write my metric and do the calculations

Thanks.

Where is the motivation for the Logistic regression ?

Thanks.