chestervonwinch

52 ms·

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by chestervonwinch 12y ago
I can verify this is true. It is not extremely difficult to build a multinomial regression model and find "adversarial" images for this trained model. Of course, you're just taking me for my word on this, but you could very w
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by chestervonwinch 12y ago
There's not a lot of theoretical background beyond the basics of pattern recognition to get started understanding this stuff. Of course, pattern recognition requires some knowledge of probability, statistics, linear algebra, and vector
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by chestervonwinch 12y ago
The researcher who wrote this article was also featured on Radio Lab recently: http://www.radiolab.org/story/91503-the-unconscious-toscanin...
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by chestervonwinch 12y ago
I believe this notation might be borrowed from SymPy, a symbolic math lib for python --- not that this justifies it; I don't quite care for it much either.
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by chestervonwinch 12y ago
> ... she smiled so broadly that she looked almost attractive despite her unkempt red-grey hair and nondescript clothes. Why is this necessary?
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by chestervonwinch 12y ago
As an avid french press user, I have to shove my head the sand every time I see this.
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by chestervonwinch 12y ago
Sure, I agree. Its a mathematical sort of intuition - one on abstract objects (in particular Hilbert spaces). This abstraction provides something sort of fundamental and poetic. Of course, this is better motivated by something concrete or p
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by chestervonwinch 12y ago
Let me try a (hopefully unspecialized) basis view explanation. I think this is more of an explanation of Fourier Series, but hopefully it gets the idea across: Consider the space around you. Pick some frame of reference with a fixed origin
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by chestervonwinch 12y ago
Ableton Live's most recent version has this feature. It's called harmony to midi, and it's pretty cool (Ableton is a fantastic program in general). I'm not aware of any open libs for this task though. I'm not really
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by chestervonwinch 12y ago
>> I switched to Applied Math and aced it. What sort of integration and differentiation were you doing originally that is not included in an applied math curriculum?
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by chestervonwinch 12y ago
You've got directional frequencies in 2d - you'd measure it in the direction of some vector. With sinusoids, cos(wx+vy), the "natural" frequency is along the (w,v) direction. The 1D frequency along this direction is |(w,
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by chestervonwinch 12y ago
The latter is a subset of the former and refers to particular architectures/strategies for doing machine learning/data mining. Think deep as in hierarchies not deep as in "whoa, man". Some ideas in deep learning are new;
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by chestervonwinch 12y ago
I remember reading somewhere that the decision as to what's available for rent vs purchase is made by each movie's production company. I can't find where I read that now so I could be wrong or maybe someone who knows more cou
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by chestervonwinch 12y ago
I thought at one point it would be fun to gather all the titles of this nature I could to create a hype/buzz title generator maybe using a markov model or something. No time though.
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by chestervonwinch 12y ago
Thanks for sharing this. I enjoy Mallat's point of view. He has some similar talks on videolectures.net for anyone who's interested.
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by chestervonwinch 12y ago
I never finished the book, but I'm reminded of Malcom Gladwell's Blink whenever I have moments of subconscious problem solving. It's a strange feeling: insight followed by a confused determination as a my conscious mind piece
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by chestervonwinch 12y ago
From what I've gathered, this has been the job outlook for academic positions for some time across most areas (not strictly STEM), hasn't it? The prospects for STEM phds in industry appears better (or at least as someone pursuing
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by chestervonwinch 12y ago
That's pretty amazing you came up with that in 9th grade. You may know this already but for anyone who doesn't, this is a result of covariance being an inner product [0]. Remember that the inner product of a vector with itself is
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by chestervonwinch 12y ago
Yikes. Sorry about that. I don't remember the last time I used a photo upload service, so I just used the first one that came up. I didn't notice the NSFW stuff due to adblock probably. Anyway, here's a safer link for anyone
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by chestervonwinch 12y ago
Do you mean for this particular implementation or in general? If the latter, here's an animation of input-to-hidden weights during the training of an autoencoder on MNIST data: http://i61.tinypic.com/micsrc.gif
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by chestervonwinch 12y ago
I don't know if this is the type of thing you're looking for, BUT... I made this little web app for visualizing the prediction gradient for a binary classification problem with 2 dimensional inputs [0]. You basically add members o
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by chestervonwinch 12y ago
Optimal in what sense? Bayes' rule is just an identity - a decomposition of one distribution into the product of two. Decomposing the posterior in this way says nothing about the complexity of the distribution itself.
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by chestervonwinch 12y ago
Mostly, no. Hidden units introduce non-convexity to the cost. How bout a simple counter-example? Take a simple classifier network with one input, one hidden unit and one output and no biases. To make things even simpler, tie the two weights
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by chestervonwinch 12y ago
http://www.nature.com/neuro/journal/vaop/ncurrent/full/nn.37...
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by chestervonwinch 13y ago
A good one from the oatmeal: http://theoatmeal.com/comics/mantis_shrimp
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by chestervonwinch 13y ago
I agree. I've experienced the 3D effect in cinema as a strong smell that I become desensitized to shortly after exposure.
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by chestervonwinch 13y ago
I made a little interactive web app for visualizing 2-d linear transformations some time ago. My original intention was to see what a 2-d DFT did. Turns out its pretty nifty for seeing the action of eigenvectors, singular matrices, rotation
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by chestervonwinch 13y ago
Sounds like a problem for machine learning :)
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by chestervonwinch 13y ago
http://neuron.eng.wayne.edu/tarek/MITbook/chap2/2_3.html#2.3...