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Youtube error
Lectures
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79
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4
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12 Nov '20
Good morning,
I was going to watch the second part of the video for today's course and youtube do…
Dropout method for disconnected networks
Lectures
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65
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5
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12 Nov '20
Hello,
I was wondering how would the subnetwork be trained in the case it is disconnected (figu…
The definition of signal
Lectures
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62
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2
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12 Nov '20
Hi,
In the Adversarial ML lecture (robust and nonrobust feature) mentioned that"The first compon…
Pytorch tensor for RELU
Lectures
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82
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2
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11 Nov '20
Hello,
I try to solve a ML problem using a NN with RELU activation function. my data points loo…
Analysis of the bayes classifier: scaling everything by a constant
Lectures
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75
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3
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10 Nov '20
Hi,
I have a question concerning the end of the analysis of the bayes classifier using all featu…
l infinity norm
Lectures
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86
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3
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10 Nov '20
Good evening,
I wonder what does the \(l_\infty\) is. I don't remember seeing it somewhere else.…
Dropout
Lectures
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112
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3
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10 Nov '20
Hi,
1. What would be the definition (in simpler terms) of an [architecture ](https://youtu.be/lb…
Valid Padding output format
Lectures
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75
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4
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10 Nov '20
In the lecture notes, concerning the formula for the output format when applying valid padding, sho…
Vanishing gradient
Lectures
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79
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3
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10 Nov '20
Hi,
I didn't quite understand the problem of having an activation function with vanishing gradie…
Primal formula
Lectures
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113
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7
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4 Nov '20
Hi,
I don't understand why in the videos we've got this formula
![Screenshot from 2020-11-03 11…
KNN Last inequality
Lectures
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108
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3
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31 Oct '20
Hello, I have trouble understanding the last inequality of the KNN lecture notes.
![knn_last_inequ…
Don't understand this statement: 'Note that G(w, α) is convex in w and linear, hence concave, in α'
Lectures
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94
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5
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31 Oct '20
I am not sure how this conclusion is drawn in the Lecture 7 SVM:
"Note that G(w, α) is convex in w…
Possibility to get lectures notes
Lectures
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69
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2
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30 Oct '20
HI,
I would like to know if it's possible to have the annotated notes from Nicolas presentation?
…
soft vs hard margin dual and alpha
Lectures
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96
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2
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30 Oct '20
Good Evening,
I have a hard time seeing how we derive the constraints for alpha in the dual form…
Lecture 6 Part 1 GLM vector multiplication
Lectures
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85
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2
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30 Oct '20
Hi,
In this video: https://youtu.be/EMrscGV8chg?t=5931 at 1:38:50 the GLM contains \(w^T * x\),…
Kernel
Lectures
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60
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3
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29 Oct '20
Hey,
I don't see/understand the "fact" that :
"We then derived an alternative
formulation usi…
Set of classifiers is not convex
Lectures
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133
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6
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29 Oct '20
Hello,
In the first part of the first lecture (w7), when talking about the convexity of the loss…
Question on Coordinate descent
Lectures
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93
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2
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28 Oct '20
Hi, Why is it easy to optimize via coordinate ascent to solve dual optimization?
Could you explai…
SVM soft margin
Lectures
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75
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2
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28 Oct '20
I was wondering if the penalization for being on the wrong side of the margin (slack variables cost…
SVM Dual problem optimisation
Lectures
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151
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4
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28 Oct '20
When trying to find
$$max_{\alpha\in R^N} : \alpha^T1 - \frac{1}{2\lambda}\alpha YXX^TY\alpha$$…