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mesllo
  • Member for 9 years, 1 month
  • Last seen more than a month ago
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14
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Top posts
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All Questions Answers
Score Newest
answer
14
In GD-optimisation, if the gradient of the error function is w.r.t to the weights, isn't the target value dropped since it's a lone constant?
Nov 11, 2021
question
11
If a data set appears to be normal after some transformation is applied, is it really normal?
Feb 28, 2022
question
9
How to extract the function being approximated by a neural network?
Apr 11, 2015
question
7
In GD-optimisation, if the gradient of the error function is w.r.t to the weights, isn't the target value dropped since it's a lone constant?
Nov 11, 2021
question
4
How is an embedding space optimized with respect to the loss function?
Apr 17, 2022
question
2
Strategies for parallelising neural networks
Nov 7, 2014
question
2
Can a neural network with random connections still work correctly?
Jan 26, 2015
question
2
NLP: How to do feature normalisation for gender classificiation?
Feb 17, 2015
question
2
Why doesn't a dilated convolution lose information?
Dec 16, 2021
question
1
Graphically, how does the non-linear activation function project the input onto the classification space?
Oct 18, 2014
Top network posts
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75
Limit $\frac{x^2y}{x^4+y^2}$ is found using polar coordinates but it is not supposed to exist.
17
Why is a function space considered to be a "vector" space when its elements are not vectors?
10
What does it mean when $\sigma$ is discriminatory?
7
Can an inner product on a vector space be negative?
6
Is this Epsilon-Delta approach to prove that $e^x$ is continuous correct?

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