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owenshen24
searching PlanetScale…
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91.
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Pokemon Sprites Generated with a GAN
(mlu.red)
1 points
by
owenshen24
7y ago
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0 comments
92.
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Show HN: Visualize Perceptron Variants in Browser
(owenshen24.github.io)
2 points
by
owenshen24
7y ago
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0 comments
93.
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by
owenshen24
7y ago
This is a great resource. Thanks for sharing!
94.
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Habits 101: Research and Techniques for Habit Formation
(medium.com)
2 points
by
owenshen24
7y ago
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0 comments
95.
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Show HN: Visualize Perceptons in Browser
(owenshen24.github.io)
3 points
by
owenshen24
7y ago
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0 comments
96.
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How to grip a pen?
(mlu.red)
207 points
by
owenshen24
7y ago
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101 comments
97.
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Ask HN: Is Micro-Optimizing Your Resume Worth It?
1 points
by
owenshen24
7y ago
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0 comments
98.
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Ask HN: Professional Resume Critique?
2 points
by
owenshen24
7y ago
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1 comments
99.
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Recognizing vs. Generating
(mlu.red)
3 points
by
owenshen24
7y ago
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0 comments
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Meta-Advice
(mlu.red)
1 points
by
owenshen24
7y ago
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0 comments
101.
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by
owenshen24
7y ago
I've been a happy user since you demoed this here last August or so. Have also been pitching it to some friends for their personal sites. I donated for the free tier. Really appreciated your writeup and rationale for providing a free a
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by
owenshen24
7y ago
I agree that large decision trees are also hard to interpret. The idea in the above paper is that we regularize with respect to average tree path length, based on the intuition that smaller trees are more interpretable. (But the issue about
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by
owenshen24
7y ago
I agree that there's probably a good question about to what extent looking at benchmark sets is biasing our judgment. But it's also unclear to me how to get a decision tree to perform as well on image recognition tasks the same wa
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by
owenshen24
7y ago
My understanding is that interpretable models, especially for neural networks, are very far and away from state of the art performance. Work that e.g. tries to approximate neural nets with decision trees have yet to be applied to very large
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Bank of America Does Not Support Firefox
(bankofamerica.com)
2 points
by
owenshen24
7y ago
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3 comments
106.
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Unread Emails: A Biased Survey
(mlu.red)
2 points
by
owenshen24
7y ago
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0 comments
107.
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by
owenshen24
7y ago
I think the Kelly Criterion can tell you what proportion of your funds to be betting in situations like this.
108.
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by
owenshen24
7y ago
Hello HN, I recently found myself tinkering with SVGs and wanting to see what the individual paths/text did. SVGO did a great job of both cleaning up my SVG code and showing me the source, but, to my frustration, it didn't allow m
109.
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Show HN: Online SVG XML Editor
(owenshen24.github.io)
9 points
by
owenshen24
7y ago
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2 comments
110.
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by
owenshen24
7y ago
Agree that Dynalist is nicer, as it has features like multiple documents.
111.
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Writing Backprop in Python
(mlu.red)
1 points
by
owenshen24
7y ago
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0 comments
112.
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by
owenshen24
7y ago
Yeah, I was under this impression as well. I was wondering if something like this existed the other day, and I was excited to see this / share it, but I didn't want to put people under the false impression that I'd written th
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Pagemap: A mini map for your website
(larsjung.de)
264 points
by
owenshen24
7y ago
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33 comments
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by
owenshen24
7y ago
There's also https://vecta.io/nano , which I've found to sometimes give better results than SVGOMG
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by
owenshen24
7y ago
Yes! Volta is based off the script I used to generate my own blog here: https://mlu.red/
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Show HN: A Blog Generator
(github.com)
2 points
by
owenshen24
7y ago
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3 comments
117.
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Good Self-Help Is Self-Defeating
(mlu.red)
2 points
by
owenshen24
7y ago
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0 comments
118.
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by
owenshen24
7y ago
I don't have something that feels comprehensive yet, but another more general concept aside from predictive processing that I've been thinking about is substituting a hard thing for an easy thing, if the easy thing looks like the
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by
owenshen24
7y ago
While I think it's good for pedagogical purposes to have a catalogue of many examples of where our thinking goes wrong, I worry that these lists can give off the wrong idea that our thinking is broken in so many "different" w
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Betoken Mainnet Launch
(medium.com)
1 points
by
owenshen24
7y ago
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0 comments
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