Bugs/improvements?
Mock exam 2014 PCA complexity
CS433 exams · 57 · 0 · 16 Jan '22
Hello, Can you help me understand how they arrive at a complexity O(M^2*DN) in this exercice? Plus…
Exam 2016 Question 9
CS433 exams · 82 · 2 · 15 Jan '22
How to see that the answer makes sense? I have absolutely no idea why it makes sense I just don’t s…
2017 Q24 possible error + Q25
CS433 exams · 69 · 1 · 15 Jan '22
Hi, ![2017.jpg](https://oknoname-crm1.s3.amazonaws.com/spirit/images/712/94ce068a010d41d6b097c…
Convexity of g(h(x)) exam 2017
CS433 exams · 99 · 1 · 15 Jan '22
Hi, ![2017.jpg](https://oknoname-crm1.s3.amazonaws.com/spirit/images/712/850c17d19db54ac4947b2cb…
Question 14 exam 2020
CS433 exams · 98 · 1 · 15 Jan '22
Hi, we have w and x given, so that their product is -10. Then we wanna find the optimal delta*, w…
Decision boundaries
CS433 Uncategorized · 56 · 1 · 15 Jan '22
Hi, Could a neural network, a knn or a ridge regression with a kernel trick solve the XOR proble…
Backpropagation NN
CS433 random · 68 · 1 · 15 Jan '22
Hello, is it correct that in general a neural network trained using backpropagation is non convex (…
Decision boundaries
CS433 Uncategorized · 32 · 0 · 15 Jan '22
Hi, Could a neural network, a knn or a ridge regression with a kernel trick solve the XOR proble…
Mock exam 2014 invertible matrix conditions
CS433 exams · 103 · 3 · 15 Jan '22
Hello, For the question (b) below, I agree that W is positive definite since it's a diagonal mat…
Q3 exam 2017
CS433 exams · 107 · 1 · 15 Jan '22
Hi, How can we explain this Upper bound for the dimension "D" wrt to the size of the data set "n" …
2018 Q15
CS433 exams · 87 · 1 · 15 Jan '22
Hello, I am really confused about for the first choice, why there is only one solution? Thank you…
Q24 exam 2019
CS433 exams · 78 · 1 · 15 Jan '22
Hello, Can you detail a bit please the computational cost for GD and SGD in this question? Because…
Is there a way to find your own questions again?
CS433 random · 94 · 3 · 15 Jan '22
With 100 notifications per day - is there a way to filter out the questions you asked yourself, to …
Sigmoid Fonction transition for Neural Network
CS433 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
CS433 lectures · 62 · 3 · 14 Jan '22
Hi, When studying the convergence of the loss function (in section "The GAN framework: Equilibri…
Mock 2018 QCM Regularization term
CS433 exams · 65 · 1 · 14 Jan '22
Hello, Can you give me an example of an objective where we had a regularization term in order to r…
The likelihood function
CS433 lectures · 58 · 1 · 14 Jan '22
I am confused by this slide. Isn’t the likelihood function is the probability of the observation gi…
Lab 12 Problem 1 Compute U, S efficiently
CS433 exercises · 54 · 1 · 14 Jan '22
1) possible typo In the solution "Let \( v_i \), i = 1, ..., N, denote the columns of V" instead …
Open questions exam 2016
CS433 exams · 125 · 1 · 14 Jan '22
Hello, For the subgradient problem, I am wondering if there is no a typo in the correction? In the…
Final 2019 Q25
CS433 exams · 123 · 5 · 14 Jan '22
Hello, I couln't imagine a case how the number of observed entries can increase while all K, N, …