Connect your moderator Slack workspace to receive post notifications:
Lecture 9c typo
lectures · 89 · 1 · 19 Jan '22
Hi, There is a typo in this slide : ![typo.jpg](https://oknoname-crm1.s3.amazonaws.com/spirit/i…
Non-robust features in adversarial examples
lectures · 76 · 1 · 19 Jan '22
Hello, Can someone explain what does a non-robust feature mean and the meaning of the values in th…
Approximating a step function with a sigmoid
lectures · 54 · 0 · 19 Jan '22
In slide 16 of 8ab, how did we find that the width of transition is O(4\w) ?
Proof of representer theorem
lectures · 58 · 0 · 19 Jan '22
Hello, In the proof of representer theorem, how can transpose of optimal w-u be equal to transpose…
Negative log likelihood when y ∈ {−1,1}
lectures · 52 · 0 · 19 Jan '22
Hello, How does the w* rule change when y ∈ {−1,1} ? Thanks
matrix factorisation with SVD
lectures · 156 · 2 · 19 Jan '22
Hi, Is it true to say that : 1) Any matrix factorisation of a given matrix X can be done via trunc…
ALS
lectures · 116 · 2 · 19 Jan '22
Hey, is ALS and iterative algorithm or not? if i understand correctly, it is not, but I am not sure…
Questions about KNN, weight sharing, NN...
lectures · 130 · 2 · 19 Jan '22
Hi, I have a lot of questions, sorry about this. Do we always assume that the function we use…
K cross validation vs split train test
lectures · 75 · 1 · 19 Jan '22
Hi, In the 4th lecture, it is written that K fold cross validation returns an unbiased estimation …
Lecture 9 c- adversarial examples
lectures · 91 · 2 · 19 Jan '22
Two questions: I was wondering if when generating adversarial examples we have seen in class, if…
KNN
lectures · 69 · 0 · 18 Jan '22
Hey, I didn't understand these equalities, they have the same concept which i am missing out, can s…
PCA
lectures · 296 · 8 · 18 Jan '22
Hello, I would have two questions about the lecture on PCA. - First of all, I'm not sure to under…
Exponential family
lectures · 78 · 1 · 18 Jan '22
Hey, if the mean equals to zero we get ln(0), which is not defined, so should we add a constraint t…
Lecture 9: Flipping the filter for CNNs
lectures · 77 · 1 · 17 Jan '22
Hi, I think I did not get when you presented the example with shared weights what was the "conv…
Classification by risk minimization
lectures · 89 · 1 · 17 Jan '22
Hey, I have some questions regarding the following slide: 1) Ltrain is not convex as a function …
difference MAP and MLE
lectures · 135 · 4 · 17 Jan '22
Hello, I don't really understand the difference between MAP and MLE ?
neighbours in knn
lectures · 61 · 1 · 17 Jan '22
Hello, In k-nn, in order to compute the training error (given our training set) do we always assu…
Sigmoid Fonction transition for Neural Network
lectures · 71 · 1 · 14 Jan '22
Hello In this lectures said that b is where the transition happen. But on the Neural network we…
[Lecture 12.a] GAN equilibrum computation
lectures · 62 · 3 · 14 Jan '22
Hi, When studying the convergence of the loss function (in section "The GAN framework: Equilibri…
The likelihood function
lectures · 58 · 1 · 14 Jan '22
I am confused by this slide. Isn’t the likelihood function is the probability of the observation gi…