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Results tagged with machine-learning
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user 117255
Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
0
votes
1
answer
149
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Keras use of ImageNet?
Keras mentions that it provided models pretrained on ImageNet. However, it doesn't specify what they mean by "ImageNet" - like is it a certain subset of ImageNet of the complete set of images? I mean, …
- 215
2
votes
2
answers
167
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Imbalanced training set vs smaller balanced training set?
Say I am using a maximum likelihood approach and my output unit computes a softmax function. My training set is distributed as follows over 6 classes:
class_samples[0]=23, class_samples[1]=5, class_sa …
- 215
3
votes
1
answer
49
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Why does this paper claim to have found a minimal width of $d_{in}+1$?
Why does this paper (click the link) claim to have found a minimal width of $d_{in}+1$ in the abstract? I mean, if you read the main result, it seems like they only find a universal approximator with …
- 215
4
votes
2
answers
748
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What's the point with neural networks if you can only predict linear test data?
So, I have tried all the different activation functions listed on https://keras.io/api/layers/activations/. I can indeed approximate any nonlinear function in the training range perfectly well - but f …
- 215
2
votes
1
answer
1k
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Negative log-likelihood not the same as cross-entropy?
The negative log-likelihood
$$
\sum_{i=1}^{m}\log p_{model}(\mathbf{y} | \mathbf{x} ; \boldsymbol{\theta})
$$
can be multiplied by $\frac{1}{m}$ after which the law of large numbers can be used to get …
- 215