reader5000

6 ms·

91.
by reader5000 9y ago
This viewpoint is effectively British and Canadian law.
92.
by reader5000 9y ago
Well certainly, but interpretability is obsolete.
93.
by reader5000 9y ago
Yeah of course. I can't explain to you why NNs outperform bayesian approaches, probably just NNs are capturing the correct type of prior for vision/language tasks. And yeah bayesian models are more interpretable but when you have
94.
by reader5000 9y ago
You're right, but a) you have comp efficiency issues with MCMC, and b) just empirically MCMC models don't work as well as gradient descent + NN for many tasks.
95.
by reader5000 9y ago
Thats true. There is evidence internet addiction shows up on brain scans though.
96.
by reader5000 9y ago
> But internet addiction is invisible; it masks itself as the person being just slower than their peers, or lazier. Socially isolated, failure to obtain/hold jobs, failure to reach traditional milestones (marriage, own house, childr
97.
by reader5000 9y ago
I thought I was weird in noticing "walking=less internet". Another thing is meditation, but it's no silver bullet. I was supposed to not be on the internet right now.
98.
by reader5000 9y ago
Try to derive e.g. a face detector from bayes theorem. You immediately arrive at computationally intractable sums/integrals. Yet, we have super-human image classifiers. Therefore, bayes theorem is obsolete. Sure, you can try to retrofi
99.
by reader5000 9y ago
>I think it's more like not hiring a big name coding competition winner because they never bothered to learn how to use version control, or any coding best practice, or any language other than C. Depends on what you're hiring f
100.
by reader5000 9y ago
"Data science" is a field with so much conceptual churn and fads that interviewing for it is a completely ridiculous notion.
101.
by reader5000 9y ago
This is like not hiring a [big name coding competition] winner because he didn't know radix sort.
102.
by reader5000 9y ago
Technically anybody who uses Excel is a "data scientist". Just got to get the right buzzwords.
103.
by reader5000 9y ago
Recurrent models do not simply map from one vector space to another and could very much be interpreted as reasoning about their environment. Of course they are significantly more difficult to train and backprop through time seems a bit of a
104.
by reader5000 9y ago
Effectively it looks like the guy was looking for a suicide-buddy. Initially she told him to get help, but he kept pestering her about wanting to commit suicide. So she helped him through it in a non-material way. That's one interpreta
105.
by reader5000 9y ago
There isnt really any math to deep learning other than the concept of a derivative which is taught in high school calculus. The reason deep learning papers seem mathy is people take network architectures and various elementary operations on
106.
by reader5000 9y ago
Would meeting strangers recommended to you by a deep learning bot be enriching??
107.
by reader5000 9y ago
I believe it is the case that deep NNs at the highest/deepest levels have interpretable feature-specific cells as well. Not sure what they think the difference is.
108.
by reader5000 9y ago
Never heard of this book, thanks for sharing.
109.
by reader5000 9y ago
Isn't rule 30 also Turing complete? Therefore GoL and rule 30 can both emulate the other, modulo possible exponential blowups in time/space requirements.
110.
by reader5000 9y ago
Cruel and unusual punishment. The judges kept alluding to the volume of the sales; thats just the nature of the technology, not the nature of the crime. There was also language in the original sentencing that he was "privileged" (
111.
by reader5000 9y ago
But a lot of the reason it's useful/interesting that say sorting is n log n is because we have computers to actually implement sorting. I'm not sure the problem was even posed before computers.
112.
by reader5000 9y ago
If you think spending power is the only relevant form of power in a marriage you are incorrect.
113.
by reader5000 9y ago
Yes because the entire value a husband receives from his wife is her housekeeping contributions.
114.
by reader5000 9y ago
In the sjw-religion, why is "homemaker" considered inferior to "computer programmer"? One of the oldest and most important human occupations versus hunched over at a desk slaving for a salary until being outsourced to a
115.
by reader5000 9y ago
Human intelligence is rapidly becoming obsolete.
116.
by reader5000 9y ago
Are you referencing https://arxiv.org/abs/1412.0233 ?
117.
by reader5000 9y ago
That's not correct though, theres plenty of reasons why on an intuitive level neural networks should not work. Also, genetic algorithms are intuitively appealing but do not work well.
118.
by reader5000 9y ago
The article meant elegant in the sense of "nn training provably converges in subexponential time and doesnt overfit the data". E.g., like the theory for convex SVMs. Mathematically, nn training is an unproven algorithm, it just wo
119.
by reader5000 9y ago
There is no understanding of why NN training converges in reasonable time and does not over/underfit. (Unlike for say convex SVMs)
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by reader5000 9y ago
Great. Explain why training converges in subexponential time despite the nonconvex cost function and does not overfit the data.

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