pilooch

20 ms·

211.
by pilooch 11y ago
Since deep learning is dominating the news these days, this might be the opportunity to point to the potential new ways of dealing with ad blocking. One is using character-based convolutional (or recurrent) networks that read the URL charac
212.
Lessons behind the evolution of XGBoost(homes.cs.washington.edu)
3 points by pilooch 11y ago|0 comments
213.
by pilooch 11y ago
An implementation of image similarity search based on deep convnets can be found at https://github.com/beniz/deepdetect/tree/master/demo/imgsear...
214.
by pilooch 11y ago
Once you're on to training and not using off-the-shelf models, there are several good open source packages out there, from digits to deepdetect. It is not that difficult anymore to get at least a first model with decent accuracy.
215.
Open Character-Based Deep Convolutional Models: From Sentiment to Ad-Blocking(deepdetect.com)
6 points by pilooch 11y ago|0 comments
216.
Californium, a video game tribute to Philip K Dick(dangerousminds.net)
1 points by pilooch 11y ago|0 comments
217.
Deep learning for Elasticsearch(elastic.co)
2 points by pilooch 11y ago|0 comments
218.
How do you build a mirror for one of the world’s biggest telescopes?(theconversation.com)
3 points by pilooch 11y ago|0 comments
219.
The big short, the housing bubble and the financial crisis(cepr.net)
30 points by pilooch 11y ago|6 comments
220.
by pilooch 11y ago
You don't need a company for building a meta-search engine. And most importantly, if you value privacy, you want the whole meta-thing to be open source, always.
221.
Deep Learning Robot(autonomous.ai)
13 points by pilooch 11y ago|0 comments
222.
by pilooch 11y ago
DDG is basically a meta-search engine. It is then better to host it yourself with https://github.com/asciimoo/searx Set it up remotely and you basicially have your own DDG.
223.
by pilooch 11y ago
One of the various open source alternatives, http://www.deepdetect.com/applications/model/
224.
A Range of Caffe-Compatible Deep Neural Net Models for Image Classification(deepdetect.com)
9 points by pilooch 11y ago|0 comments
225.
by pilooch 11y ago
link to your project ?
226.
by pilooch 11y ago
Google is certainly Nvidia's top customer.
227.
by pilooch 11y ago
Well, wait to see how support goes etc... In the meantime take on Keras or Lasagne, and do your stuff, i.e. acquire hands-on experience now. When time comes that you need to go into production, or you need a model that is not available in y
228.
by pilooch 11y ago
http://www.reddit.com/r/machinelearning
229.
by pilooch 11y ago
At the moment it is much more interesting when applied to more narrowly targeted tasks. These can include video captioning but for clearly specified tasks. The (too quick of a) tentative jump from well automated targeted tasks to generic ta
230.
by pilooch 11y ago
ML is the next commodity on the development stack. It is good to worry over the next few years, but after that, there should be a bunch of pretty solid tools out there for developers to work with. I am among the people that I believe are wo
231.
by pilooch 11y ago
You can use mairix as a search system outside of mutt. Results are a temporary mailbox.
232.
by pilooch 11y ago
OpenCL is slowly being supported by some of the main deep learning packages. The annoying part of Nvidia's GPUs are drivers and closed souce CUDA. Their CuDNN extension is a proprietary blob (with bugs) that boost up perfs but remains
233.
by pilooch 11y ago
No one I know of, from the last time I did check on this topic. However, it seems possible to plug ML on top of something like OpenFlow. PM me if interested to look this up further.
234.
by pilooch 11y ago
Yes, which is a reason why all non-linear clustering techniques can be a challenge when investigation follows outlier detection.
235.
by pilooch 11y ago
Well, you can try this one, it is open source and based on Caffe : http://imgdetect.alexgirard.com/# The image link: http://rocknrollnerd.github.io/assets/article_images/2015-05... It says 's
236.
by pilooch 11y ago
Shameless plug: anyone interested should be able to get baseline results and above easily by using libcmaes. I am one of the authors with no time to compete, but am interested in reports on how it goes. Also if you are a researcher or a stu
237.
by pilooch 11y ago
You can compute the gradient, it just has a high budget cost. The usual winner is a flavor of CMA-ES, though they may have picked up the functions to avoid this.
238.
by pilooch 12y ago
I believe this article to o be relevant here: http://m.theatlantic.com/magazine/archive/2013/11/the-man-wh...
239.
Automated Trading program for altcoin/Bitcoin exchanges(github.com)
1 points by pilooch 12y ago|0 comments
240.
by pilooch 12y ago
yes, it'd need to be fully open hardware and open source software. What else ? :)

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