Turing game

We all know " Turing test ". In its classic version, a person and a car answer the judge's questions, and the judge does not see the respondents and should only guess from the answers who is who. 3r361.  
3r361.  
About this test, even filmed a short feature film "Who is behind the wall." It can be said, fantastic, because the action of the plot takes place at the end of 200? and it was shot, for a minute, in 1977. If you haven’t seen it - you’ll see it, and it’s necessary to the end - as it should be in a short film, the outcome will be unexpected. 3r361.  
3r361.  
3r314. 3r361.  
3r318...
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How we taught the neural network to define documents

 
3r3-31. How we taught the neural network to define documents 3r3119.  
3r3119.  
This summer, we taught the neural network to determine if there is a document in the image, and if so, which one. 3r3119.  
3r3119.  
[h1] For what it took 3r3108. 3r3119.  
To unload employees and protect people from scammers. We use the new neural network in two areas: when the user regains access to the page and to hide personal documents from the general search. 3r3119.  
3r3119.  
Documents 3r3102. ". 3r33112. All documents that users upload to this section or send via private messages are, by default, hidden from prying eyes and do not fall into the search results. But ...[/h]
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Making a machine learning project in Python. Part 3

 3r33547. 3r3-31. Making a machine learning project in Python. Part 3 Translation A Complete Machine Learning Walk-Through in Python: Part Three [/i] 3r?500.  3r33547. 3r?500.  3r33547. Many people dislike the fact that machine learning models are 3-3315. black boxes
: we put in them the data and without any explanation we get answers - often very accurate answers. In this article we will try to figure out how the model we create makes predictions and what it can tell you about the problem we are solving. And we conclude with a discussion of the most important part of the machine learning project: we will document what has been done and present the results...
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Hackathon on Data Science in SIBUR: how it was

 3r33333. 3r3-31. Hello!
 3r33333.
 3r33333. Since the beginning of the year, we have conducted about 10 hakatons and workshops throughout the country. In May, we are together with r3r36. AI-community
organized hakaton in the direction of "digitization of production." Before us, the hackathon about data science in production has not yet been done, and today we decided to tell in detail about how it was.
 3r33333.
 3r33333. Hackathon on Data Science in SIBUR: how it was  3r33333.
 3r33333. The goal was simple. It was necessary to digitize our business at all its stages (from the supply of raw materials to production and direct sales). Of course, applied ..
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Neurotic Bikes: Genesis

Neurotic Bikes: GenesisThe other day, Youtube thought it would seem interesting to me a video called “AI Learns to play Hill Climb Racing”. It's funny, because a couple of minutes before that, I committed another change to the project, where my colleagues and I, in the breaks between work and work, solve exactly this problem. There is no “AI” in that video , however, it was not revealed - the author entertained the public with pampering with Box2D and calmed down on that. Nevertheless, I propose to consider this fact convincing evidence of the relevance of the topic and disassemble the structure of our rattles...
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Identify fraud using Enron dataset. Part ? the search for the optimal model

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Parsim Wikipedia for NLP tasks in 4 teams

3r33333. Parsim Wikipedia for NLP tasks in 4 teams 3r33362. 3r33333. 3r3403.  
3r33333. The essence of
3r33333. 3r3403.  
3r33333. It turns out for this purpose it is enough to run just such a set of commands: 3-33357. 3r3403.  
git clone https://github.com/attardi/wikiextractor.git
cd wikiextractor
wget http://dumps.wikimedia.org/ruwiki/latest/ruwiki-latest-pages-articles.xml.bz2
python3 WikiExtractor.py -o /data/wiki/- no-templates --processes 8 /data/ruwiki-latest-pages-articles.xml.bz2
3r340. 3r3403.  
3r33333. and then polish a little ...
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Creating a safe AI: specifications, reliability and warranty

Creating a safe AI: specifications, reliability and warrantyAmong the authors of the article are the safety team from the DeepMind company.
3r33333.  
3r33333.  
Build a rocket hard. Each component requires careful study and testing, with security and reliability at its core. Rocket scientists and engineers get together to design all systems: from navigation to control, engines and chassis. Once all the parts are assembled, and the systems are checked, only then can we put the astronauts aboard with the confidence that everything will be fine. 3r33333.  
3r33333.  
If artificial intelligence (AI) is 3r3r14. rocket
then someday we all get tickets on board...
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Machine learning: clash with a room elephant

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Detection of faces on video: Raspberry Pi and Neural Compute Stick

Detection of faces on video: Raspberry Pi and Neural Compute StickAbout a year ago the company Intel Movidius released a device for the effective inference of convolutional neural networks - Movidius Neural Compute Stick (NCS). This device allows you to use neural networks to recognize or detect objects in conditions of limited power consumption, including in robotics tasks. NCS has a USB interface and consumes no more than 1 watt. In this article I will talk about the experience of using NCS with Raspberry Pi for the task of detecting faces in video, including both training the Mobilenet-SSD detector and its launching on Raspberry.
 
 
All the code can ...
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