clickok

13 ms·

61.
by clickok 9y ago
I am disappointed in the level of fear-mongering pearl clutching; it could[0] get so much worse! First, the person creating the fakes is using an off-the-shelf algorithm[1], adapted accordingly. A system designed purely for the purpose of s
62.
by clickok 9y ago
"Regular" paper is usually 20 lb. or 24 lb.; I am not sure what that is in gsm. So far I've found it to be too thin, actually, though I'm using an inkjet printer (modified for a continuous ink system). I've used 28
63.
by clickok 9y ago
It's another way of saying that T - λI is not a one-to-one map, meaning that (T - λI) is non-invertible. So there are vectors x and y such that (T - λI)x = (T - λI)y for y ≠ x. Which means that (T - λI)(x - y) = 0, and in general b
64.
by clickok 9y ago
Neat!. I am working on artificial muscle as a side project[0], especially the kind you can (cheaply) 3d-print. Earlier work used these sorts of soft actuators similar to regular muscle-- you make a bunch of actuators that move in a particul
65.
by clickok 9y ago
It wasn't clear to me either, and I really dislike when papers expect the reader to 'notice' some rather non-trivial manipulations. So I wrote up my unpacking of the equivalence: http://rl.ai/posts/max-en
66.
by clickok 9y ago
In standard policy gradient, the weights for (apparently) suboptimal actions are free to trend downwards to arbitrarily small values. If you're using a Gibbs distribution[0] the probability of executing alternative actions is nonzero b
67.
by clickok 9y ago
It's something of a pattern for Google. Existing products (say, Theano and Torch) were revolutionary, but had a number of pain points that were difficult to remove[0]. TensorFlow is essentially Theano without those problems, and with t
68.
by clickok 9y ago
We tried that; the reason deep nets are popular is that they outperform geometric (or other problem-specific) models. This might be because they implicitly develop such representations somewhere along the way, or because such a representati
69.
by clickok 9y ago
I am unsure what you mean-- do you mean with different training sets but the same testing set? It's an interesting question; maybe the reason for (some) of these adversarial vulnerabilities is due to a handful of bad training examples.
70.
by clickok 9y ago
There are many reasons to prefer simplicity, not just that prior to ubiquitous computing complicated models were intractable. Off the top of my head: A simple model can be "robust" to errors because the errors tend to cancel out
71.
by clickok 9y ago
There's a lot details that need to be filled in to get a working algorithm from this idea, though. Like how to properly explore enough of the state space that you can estimate the ensuing entropy, and if it's possible to learn the
72.
by clickok 9y ago
Part of the solution, I think, is making implementations of existing techniques available (and of course, rewriting them in Rust). Deep learning is popular because it's so widely applicable that it justifies the effort of learning to u
73.
by clickok 9y ago
I'm not sure what I'm supposed to be offended by; in any event I was not talking about color histograms, but instead using "some OpenCV filters to extract colors and textures" and testing a linear model first before reac
74.
by clickok 9y ago
For the things they showed in the video, deep learning is probably overkill. The main thing is having a robot capable of surviving its initial failures, and then actually collecting the data. I can't comment specifically on airborne d
75.
by clickok 9y ago
I have a similar setup to grandparent (Z10PE-D16 WS), running four last-gen TitanX GPUs with an EVGA SuperNOVA P2 1600W PSU. I was a little worried because this is the most power-hungry machine I've ever built, but so far I haven'
76.
by clickok 10y ago
Sick burn. However, about ten paragraphs in, and after mentioning Trump serveral times, the article states: > There is no indication that the White House was aware of the summons, which was signed by a Florida-based supervisor who works
77.
by clickok 10y ago
The concerning thing is that the headline frames it in the context of Trump, implying that the government is pursuing the information at the President's request. However, about ten paragraphs in they mention: > There is no indicati
78.
by clickok 10y ago
Eight GTX 1080s on a board that apparently has eight 16x PCI slots. The 2620 v3[1] has a maximum of 40 PCI lanes, so the GPUs are likely running in an 8x configuration. At what point do issues with PCI bandwidth start to limit hashing powe
79.
by clickok 10y ago
Here's a presentation from one of their researchers, Harm van Seijen[0], to give you an idea of what sort of work they do. Applying reinforcement learning to dialogue systems seems incredibly difficult, but if Maluuba (or others) can g
80.
by clickok 10y ago
According to a talk by Max Tegmark[0] (and its associated paper[1]), neural nets (particularly LSTMs) might be inherently better at this sort of thing due to the way they model mutual information. Markov models are best suited to situations
81.
by clickok 10y ago
At first the headline made me skeptical because I expected it to be one of those clickbait articles where someone deploys excessive firepower solving a trivial problem. However! It turns out that cucumber sorting is well-suited to deep lear
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by clickok 10y ago
I have used Epoch[0] and Rickshaw[1] before for similar purposes, and have heard that Plotly works well too (especially if the process that is generating the data is Python-based). For simple line charts, maybe Smoothie[2]? Currently, I am
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by clickok 10y ago
I really liked this. Understanding what the AI is doing is usually something that comes with experience and a bit of analysis, but a good visualization can act as a shortcut to intuition. And this one in particular was nicely designed.
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by clickok 10y ago
I don't believe that's the case. The Atari results were achieved via Q-Learning with neural networks (DQN stands for Deep Q-Networks), both of which have been around for decades. The basic algorithm is something you can implement
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by clickok 10y ago
I mean, I understand your perspective, but it's kinda bizarre. The line about gridlock making free trade deals impossible seems to be the standard response to every criticism of the incredibly secretive negotiation process, but it ne
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by clickok 10y ago
This series has a lot of good stuff. If you want to clear the hump between "someone who knows what neural networks are" and "someone who can use neural nets in practice", there are introductions to the basic theory and
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Deep Learning Summer School Video Lectures (2015)(videolectures.net)
4 points by clickok 10y ago|1 comments
88.
by clickok 10y ago
TensorFlow makes some things difficult in truly baffling ways. For example, the last time I checked there's no built-in way to get gradients w/r/t say a single weight, rather you get a gradient sum. So if you want to do anyth
89.
by clickok 10y ago
The paper itself: http://hi.cs.waseda.ac.jp/~esimo/publications/SimoSerraSIGGR... Part of what makes this neat is that their architecture includes exclusively convolutional layers. Networks that just use such laye
90.
by clickok 11y ago
How do you motivate designers to "flesh out" the full wardrobe/back catalogue? If the workflow for adding new clothing sets is as slick as the frontend, I can see how it'd be easy to keep things up to date, but it's

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