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This week's slides?
Lectures · 62 · 4 · 3 Dec '20
Sorry, but I've waited for it for 2 days. It's very hard to read the whole text from the video.
EM, GMM, and K-means - Covariance matrix choice
Lectures · 131 · 3 · 27 Nov '20
Hi! I have a question regarding lecture 11 material (GMM). From the lecture and the formulae, i…
NN how to choose architecture
Lectures · 147 · 2 · 26 Nov '20
Hello, I have a question regarding the neural net (or convolutional neural nets) architecture. T…
Issue in the lectures ?
Lectures · 176 · 4 · 25 Nov '20
Hello, I think there is an issue with the video lectures: The first part (EPFL Machine Learn…
Randomised Smoothing: Upper bound on allowed perturbation
Lectures · 118 · 3 · 24 Nov '20
I was wondering what is the relationship between the maximum scale of the adversarial perturbation …
Regression and over-parametrized systems
Lectures · 75 · 3 · 23 Nov '20
Good afternoon, Could you please explain why we say that regularization "helps" with over-parame…
[Splitting train/val/test]
Lectures · 68 · 3 · 23 Nov '20
Hi there! I have a small question regarding the train/val/test split. I've looked into some answ…
Lecture notes (9c - page 19) - Why is there twice a min?
Lectures · 66 · 2 · 23 Nov '20
Hi, I don't understand why we have two mins over theta in the lecture notes... ![Screenshot 2…
Typo in lecture notes (9c, page 11)
Lectures · 62 · 3 · 22 Nov '20
Hi, ![Screenshot 2020-11-22 at 19.00.04.jpg](https://oknoname-crm1.s3.amazonaws.com/spirit/image…
[Regularization] Why is it better to have small weights in a given model?
Lectures · 65 · 2 · 22 Nov '20
Hi, This might be a very simple question to answer, but I cannot find the answer online... Th…
Proof Spherical cap distribution
Lectures · 72 · 2 · 20 Nov '20
Hi I have a problem understanding why the normal distribution is a good approximation of the unif…
tail of gaussian distrib
Lectures · 65 · 2 · 17 Nov '20
![Screenshot_20201117_194839.jpg](https://oknoname-crm1.s3.amazonaws.com/spirit/images/287/6924fa1d…
Transition in the backward pass
Lectures · 113 · 7 · 17 Nov '20
Hi, I don't fully understand a part of the backward pass justification we are making in the cour…
Spherical cap case
Lectures · 102 · 4 · 17 Nov '20
Good afternoon, I have a question about the spherical cap example to explain how we can get a very…
Cap demonstration - some questions
Lectures · 71 · 2 · 17 Nov '20
Hi! There's a detail I can't get from the demonstration seen in the last lecture, about the sphere …
Cross validation for neural networks
Lectures · 90 · 3 · 16 Nov '20
Good morning, I had a more general question on neural networks. I was wondering how to perform cr…
Non robust features
Lectures · 63 · 2 · 15 Nov '20
Hello, ![a.JPG](https://oknoname-crm1.s3.amazonaws.com/spirit/images/113/08f8a883f9f444bd8185f057c…
Adversial update
Lectures · 96 · 2 · 12 Nov '20
Hi Looking at the lecture notes, I came across this equation with a footnote I am unable to unde…
Adversarial - last demonstration
Lectures · 78 · 2 · 12 Nov '20
Hey, for the demonstration about the Adversarial risk vs the True risk of the lecture about adversa…
adversarial - robustness part of lecture
Lectures · 85 · 3 · 12 Nov '20
I have a question regarding this transformation in page 10 of lecture09c_adversarial x = (x1, · · …