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A.I. Experiments: Visualizing High-Dimensional Space



Google Developers

Check out https://g.co/aiexperiments to learn more.

This experiment helps visualize what’s happening in machine learning. It allows coders to see and explore their high-dimensional data. The goal is to eventually make this an open-source tool within TensorFlow, so that any coder can use these visualization techniques to explore their data. http://g.co/aiexperiments

Built by Daniel Smilkov, Fernanda Viégas, Martin Wattenberg, and the Big Picture team at Google.

More resources:
http://www.tensorflow.org

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49 thoughts on “A.I. Experiments: Visualizing High-Dimensional Space
  1. I can see this will eventually lead to an artificial consciousness as I'm able to discern those patterns as synapses and thoughts. Also star clusters…

  2. Guys you should contact DARPA, I can immediately see plenty of application for this in identifying groups (or individuals) of people who think wrong.

  3. As always, the problem is what to encode to a vector and what weighting to give each feature. That requires humans (thankfully).

  4. So the machine-learning algorithm is sorting words or letters by shape that appear in a certain area of the text close to each other. In a text of course related word are closer to each other, because they are used in the same context. What is so special about this kind of sorting algorithm? I don‘t get it.

  5. Well we already access a higher dimension… Let's say you have a room jam packed with books… Well, digitalize them and save them onto a 32gb micro memory card. Boom. Physical space acquired thru the use of a higher dimension.

  6. This is the type of technology that will allow Google to manipulate the outcome of elections across the WORLD and fundamentally bring about any outcome they desire. Multi dimensional social engineering, this is wielding the power of gods

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